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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "cat"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Cat"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rahim
    -0.77
     rye
    -0.74
     seeded
    -0.72
    rique
    -0.72
     irrig
    -0.72
     mull
    -0.68
     liquor
    -0.68
    oday
    -0.67
     Mississ
    -0.67
    oral
    -0.67
    POSITIVE LOGITS
     Cat
    3.84
    Cat
    2.78
     cat
    2.16
     Cats
    2.07
    cat
    2.02
     CAT
    1.81
     cats
    1.67
     Kitty
    1.54
    cats
    1.47
     Dog
    1.34
    Activations Density 0.017%

    No Known Activations