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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. 13610
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    INDEX
    Explanations

    pronouns with action verbs or verbs expressing agency

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their actions or experiences

    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
    csv
    -0.67
     Hallow
    -0.67
     Hancock
    -0.65
     Candle
    -0.65
     Horton
    -0.64
    SourceFile
    -0.63
    scription
    -0.63
     1924
    -0.63
    soDeliveryDate
    -0.62
    scripts
    -0.62
    POSITIVE LOGITS
     excel
    0.88
     interacted
    0.87
     interacts
    0.84
     intersect
    0.82
     inexpl
    0.82
     pitted
    0.80
     shines
    0.78
     exce
    0.77
     literally
    0.77
     mattered
    0.75
    Activations Density 0.427%

    No Known Activations