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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 20339
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of computer programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Pradesh
    -0.69
     stake
    -0.66
    ModLoader
    -0.66
    ween
    -0.64
    ushima
    -0.63
    xious
    -0.63
     basin
    -0.61
    uple
    -0.61
    ?????-
    -0.61
     Tall
    -0.60
    POSITIVE LOGITS
    mable
    1.91
    matic
    1.50
    matically
    1.50
    mers
    1.25
    atically
    1.10
    manship
    1.03
    matical
    1.02
    ming
    0.92
    atic
    0.91
     Gutenberg
    0.90
    Activations Density 0.029%

    No Known Activations