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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. 5969
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    INDEX
    Explanations

    titles or references related to various weight classes in sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weight classes and championships in combat sports

    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
    quist
    -0.83
     Finch
    -0.79
    renheit
    -0.79
     Helpful
    -0.78
    imaru
    -0.76
    CAP
    -0.74
    ffect
    -0.73
    HCR
    -0.73
     externalToEVAOnly
    -0.72
    behavior
    -0.70
    POSITIVE LOGITS
     contender
    1.25
     champion
    1.20
    weight
    1.18
     championship
    1.14
     champ
    1.13
     contenders
    1.12
     boxing
    1.11
     division
    1.09
    weights
    1.07
     boxer
    1.05
    Activations Density 0.037%

    No Known Activations