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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. 9-RES-JB
    11. 16421
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    INDEX
    Explanations

    quotes or reported speech with high emotional intensity

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and dialogue structures in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izoph
    -0.74
     psychiat
    -0.72
     counterfe
    -0.71
     lifes
    -0.71
    enegger
    -0.71
     cess
    -0.68
    ér
    -0.68
    llah
    -0.67
    usercontent
    -0.67
    bsite
    -0.66
    POSITIVE LOGITS
     coach
    1.13
    Coach
    1.10
     Spurs
    1.06
     Panthers
    1.03
     Cavs
    1.03
     Broncos
    1.03
     Jets
    1.03
     Coach
    1.02
     preseason
    1.02
     Coyotes
    1.02
    Activations Density 0.131%

    No Known Activations