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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. 3-RES-JB
    11. 240
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    INDEX
    Explanations

    terms related to sports, particularly seasons and season performance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific seasons in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.83
    ilde
    -0.75
    hai
    -0.72
     encl
    -0.70
    gall
    -0.70
    haar
    -0.69
    atem
    -0.68
    cemic
    -0.67
    mercial
    -0.67
    ropy
    -0.65
    POSITIVE LOGITS
     opener
    1.02
    ı
    0.88
     finale
    0.82
     Playoffs
    0.78
    Coach
    0.76
     Afric
    0.72
     playoffs
    0.70
     premiere
    0.70
     MVP
    0.68
     AVG
    0.67
    Activations Density 0.043%

    No Known Activations