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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. 3-RES-JB
    11. 17654
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    Explanations

    references to the football club "Bayern Munich"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific football clubs and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owder
    -0.82
    maxwell
    -0.79
    skinned
    -0.74
    umbn
    -0.70
    pir
    -0.67
    regon
    -0.65
    earchers
    -0.65
    clusively
    -0.65
    onies
    -0.64
    motion
    -0.64
    POSITIVE LOGITS
     Munich
    1.52
     Mü
    1.17
    sburg
    1.01
     Bayern
    0.98
     Guardiola
    0.90
     Dortmund
    0.87
    stadt
    0.86
     Bundesliga
    0.80
    furt
    0.79
     Barcelona
    0.73
    Activations Density 0.003%

    No Known Activations