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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. 4-RES-JB
    11. 4705
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    Explanations

    references to fires and related incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to fire incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.88
     Virtue
    -0.84
     Vide
    -0.79
    DonaldTrump
    -0.76
    Tok
    -0.76
    oliberal
    -0.71
    glomer
    -0.71
    atever
    -0.71
    aughs
    -0.70
    amaru
    -0.69
    POSITIVE LOGITS
    flies
    1.08
     exting
    1.05
    storm
    0.99
    storms
    0.98
    proof
    0.96
    fighting
    0.96
     brigade
    0.93
     brig
    0.87
     retard
    0.86
    balls
    0.86
    Activations Density 0.019%

    No Known Activations