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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. 19755
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    Explanations

    terms related to locations like "post office" or "Michigan."

    oai_token-act-pair · gpt-3.5-turbo

    references to time and continuity

    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
    hops
    -0.56
     Despair
    -0.55
    Operation
    -0.53
    abwe
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    iatus
    -0.51
     Pastebin
    -0.51
     Including
    -0.51
     Annotations
    -0.49
     Develop
    -0.49
     defic
    -0.48
    POSITIVE LOGITS
    iest
    0.87
    liest
    0.82
    ultimate
    0.74
    osphere
    0.67
    hest
    0.57
     opposite
    0.56
     equivalent
    0.56
     closest
    0.56
    icter
    0.55
    most
    0.54
    Activations Density 0.749%

    No Known Activations