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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. 6-RES-JB
    11. 3690
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    Explanations

    statistics related to basketball games, such as points scored and rebounds made by players

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to basketball performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.81
     externalToEVAOnly
    -0.72
    oard
    -0.69
     concess
    -0.68
     sclerosis
    -0.68
    yss
    -0.66
    gently
    -0.66
    Lear
    -0.65
    raviolet
    -0.64
    assies
    -0.63
    POSITIVE LOGITS
     apiece
    1.19
    hots
    0.77
     scored
    0.75
     dra
    0.66
     per
    0.63
     Rasm
    0.62
     total
    0.61
    istent
    0.61
     Defensive
    0.60
     Goal
    0.59
    Activations Density 0.028%

    No Known Activations