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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. 1-RES-JB
    11. 4889
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    Explanations

    words related to specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to anger and specific notable places or concepts in popular culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pher
    -0.76
    onse
    -0.75
    olson
    -0.74
    ois
    -0.74
    INO
    -0.72
    ueller
    -0.71
    igned
    -0.69
    ebin
    -0.68
    ardless
    -0.67
    igning
    -0.67
    POSITIVE LOGITS
     Stupid
    1.05
     Flavoring
    1.02
     Feet
    0.97
     Hearts
    0.97
     Mind
    0.96
     Facts
    0.90
     Guys
    0.90
     Age
    0.89
     Animals
    0.88
     People
    0.88
    Activations Density 0.060%

    No Known Activations