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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. 7-RES-JB
    11. 13884
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    INDEX
    Explanations

    statements or phrases indicating a specific location or entity being recognized as prominent or significant

    oai_token-act-pair · gpt-3.5-turbo

    mentions of notable entities or events that are labeled as significant or firsts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mares
    -0.75
    earances
    -0.68
    hm
    -0.67
    cies
    -0.66
     existed
    -0.65
     besides
    -0.64
    each
    -0.64
    abuse
    -0.63
    beans
    -0.63
    abilities
    -0.62
    POSITIVE LOGITS
     fastest
    1.18
     largest
    1.12
     safest
    1.09
     highest
    1.08
     biggest
    1.05
     sole
    1.05
     toughest
    1.04
     strongest
    1.03
     basis
    1.03
     greatest
    1.03
    Activations Density 0.191%

    No Known Activations