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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. 15720
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    INDEX
    Explanations

    proper nouns related to locations or titles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific place or landmark

    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
    EXP
    -0.73
     Sonia
    -0.72
    20439
    -0.72
     Reloaded
    -0.67
    CLUD
    -0.65
     EDITION
    -0.64
    ATE
    -0.63
    ividual
    -0.61
     Effective
    -0.61
     err
    -0.60
    POSITIVE LOGITS
    ppings
    0.97
     Tra
    0.90
    ppers
    0.88
    Tra
    0.87
    pped
    0.86
    umatic
    0.86
    pping
    0.86
    ommod
    0.85
    pez
    0.85
    opers
    0.81
    Activations Density 0.005%

    No Known Activations