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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. 11-RES-JB
    11. 852
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    Explanations

    references to sports events, players, and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports events and player statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     whence
    -0.70
    anmar
    -0.64
    76561
    -0.64
    netflix
    -0.62
     juven
    -0.62
    ãĥĺ
    -0.61
     blot
    -0.61
     pilgr
    -0.60
     fortnight
    -0.60
    forth
    -0.60
    POSITIVE LOGITS
     Mandatory
    0.98
    aneers
    0.74
     STATS
    0.71
     against
    0.69
     Playoffs
    0.66
    generated
    0.66
     Pelicans
    0.65
     PHI
    0.64
    onent
    0.64
    idis
    0.63
    Activations Density 0.085%

    No Known Activations