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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. 15311
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    INDEX
    Explanations

    mentions of winners or high achievers

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "champion" and related terminology

    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
    ftime
    -0.74
    iasco
    -0.71
    uld
    -0.68
    kefeller
    -0.67
    nsic
    -0.67
    asca
    -0.66
    mberg
    -0.66
    ename
    -0.66
     ali
    -0.66
    ospital
    -0.64
    POSITIVE LOGITS
    hip
    0.89
     boxer
    0.84
     contender
    0.82
    hips
    0.79
     champion
    0.76
     challenger
    0.75
    iors
    0.75
     contenders
    0.74
    boards
    0.73
     Champion
    0.70
    Activations Density 0.018%

    No Known Activations