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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. 10-RES-JB
    11. 13680
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    INDEX
    Explanations

    the theme of cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    connections between firearms, violence, and societal impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ********
    -0.70
    udicrous
    -0.68
    onomy
    -0.65
    andestine
    -0.64
     Anonymous
    -0.64
     unbeliev
    -0.61
    eks
    -0.61
    agraph
    -0.60
     redacted
    -0.59
     Canaver
    -0.59
    POSITIVE LOGITS
     decreases
    1.10
     decrease
    1.05
     slower
    1.05
    higher
    1.04
     increases
    1.03
     poorer
    1.03
     weaker
    1.02
     harder
    1.01
     increase
    1.00
     fewer
    0.99
    Activations Density 0.703%

    No Known Activations