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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. 0-RES-JB
    11. 510
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    Explanations

    sports teams or team names

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Ducks" and "Bruins" sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cell
    -0.72
    ikh
    -0.72
     revolution
    -0.70
    ··
    -0.67
    ij
    -0.63
    gem
    -0.63
    hom
    -0.61
    lyn
    -0.61
    ire
    -0.60
    sy
    -0.59
    POSITIVE LOGITS
     Ducks
    4.23
     Bruins
    1.85
     Duck
    1.77
     Penguins
    1.60
     Oilers
    1.59
     Coyotes
    1.59
     Canucks
    1.58
     ducks
    1.54
     Jackets
    1.47
     Sabres
    1.45
    Activations Density 0.013%

    No Known Activations