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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. 1928
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    Explanations

    specific mentions of the football clubs Bayern Munich and Atletico Madrid

    oai_token-act-pair · gpt-3.5-turbo

    mentions of football clubs and coaches, particularly relating to Bayern Munich

    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
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.81
    EStream
    -0.80
    ertodd
    -0.79
    maxwell
    -0.78
    ourcing
    -0.77
    umbn
    -0.76
    owder
    -0.75
    regon
    -0.74
    morph
    -0.72
    othy
    -0.69
    POSITIVE LOGITS
     Munich
    1.62
     Mü
    1.28
     Guardiola
    1.02
     Bayern
    1.02
     Dortmund
    0.99
     Madrid
    0.89
     Lever
    0.85
     Barcelona
    0.82
     Bundesliga
    0.82
    ijn
    0.81
    Activations Density 0.045%

    No Known Activations