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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. 4-RES-JB
    11. 10963
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    Explanations

    references to statistical data in sports, specifically focusing on rebounds and assists

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rebounds in basketball statistics

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

    No Comments

    Negative Logits
     Musk
    -0.65
    OPA
    -0.64
    ATA
    -0.63
    cho
    -0.61
     Martian
    -0.60
     Tibetan
    -0.60
    States
    -0.60
     tenancy
    -0.59
    cas
    -0.59
    non
    -0.59
    POSITIVE LOGITS
     rebounds
    0.98
    hots
    0.89
    oppable
    0.82
    pointers
    0.77
     offensively
    0.77
    ilion
    0.75
    atoon
    0.74
     Pwr
    0.74
     teammates
    0.73
    halla
    0.72
    Activations Density 0.022%

    No Known Activations