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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. 21425
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    Explanations

    locations or venues

    oai_token-act-pair · gpt-3.5-turbo

    place names and locations associated with sports events

    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
     narrator
    -0.71
    ptoms
    -0.70
    ratulations
    -0.70
    enegger
    -0.69
    berman
    -0.66
     Gujar
    -0.65
     crust
    -0.63
     blues
    -0.63
     protector
    -0.63
     vibe
    -0.61
    POSITIVE LOGITS
    Aren
    0.87
    bury
    0.86
     apiece
    0.83
    Point
    0.80
     Point
    0.79
    Bank
    0.75
     behest
    0.75
     intersections
    0.74
    topia
    0.74
    cross
    0.74
    Activations Density 0.209%

    No Known Activations