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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. 10-RES-JB
    11. 5460
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    Explanations

    words related to sports team squads

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ously
    -0.75
    ãĥī
    -0.72
     BET
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    éĽ
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     Retrieved
    -0.68
     DMCA
    -0.67
    Cart
    -0.64
    utenberg
    -0.64
    ĺħ
    -0.63
     Occ
    -0.63
    POSITIVE LOGITS
    rons
    1.66
    mates
    1.28
     mates
    1.23
    members
    1.11
     rosters
    0.92
     mate
    0.90
    mate
    0.90
     members
    0.90
     captains
    0.89
     captain
    0.82
    Activations Density 0.036%

    No Known Activations