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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. 7-RES-JB
    6. 15752
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    Explanations

    adjectives describing a particular type or category of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe types or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    INA
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    ilaterally
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    æķ
    -0.58
    POSITIVE LOGITS
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    lihood
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     thing
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    etting
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    liness
    0.63
    etter
    0.61
    linger
    0.60
    hearted
    0.60
    hest
    0.59
    bright
    0.59
    Activations Density 0.040%

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