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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of sports leagues and their rankings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific sports league and its ranking

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

    No Comments

    Negative Logits
    EStream
    -0.85
    ãĤ·
    -0.73
    «
    -0.72
    imura
    -0.69
     Surprise
    -0.68
    akeru
    -0.68
    etsk
    -0.67
     Rider
    -0.66
    ãĥĦ
    -0.65
    anamo
    -0.65
    POSITIVE LOGITS
     standings
    0.80
     playoffs
    0.79
     commissioner
    0.75
     championships
    0.75
     championship
    0.71
     affiliation
    0.70
    average
    0.70
     exempt
    0.68
     chang
    0.68
     league
    0.68
    Activations Density 0.018%

    No Known Activations