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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. 2042
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    Explanations

    words related to sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific league

    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
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    Negative Logits
    EStream
    -0.88
    etsk
    -0.72
    «
    -0.69
    imaru
    -0.69
    imura
    -0.68
     Liberties
    -0.68
    anamo
    -0.68
    ihara
    -0.67
    ãĤ·
    -0.66
    ãĥĦ
    -0.65
    POSITIVE LOGITS
     commissioner
    0.83
    wide
    0.80
    oster
    0.72
    places
    0.71
     commissioners
    0.70
     lockout
    0.70
     playoffs
    0.70
     championships
    0.69
    soc
    0.69
     offic
    0.68
    Activations Density 0.025%

    No Known Activations