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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6717
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    INDEX
    Explanations

    time durations specified in hours

    oai_token-act-pair · gpt-3.5-turbo

    references to "an hour and a half" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    antha
    -0.68
     Surviv
    -0.67
    ologically
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    ãĥ¤
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    eus
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    士
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    ocrats
    -0.63
    thumbnails
    -0.63
     Prev
    -0.63
    Reviewer
    -0.62
    POSITIVE LOGITS
     dozen
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    entimes
    0.71
    hearted
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     glance
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     million
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    heartedly
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    quel
    0.65
     sized
    0.64
     gallon
    0.63
     overs
    0.63
    Activations Density 0.016%

    No Known Activations