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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. 2-RES-JB
    11. 12612
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    Explanations

    names of sports teams and their associated cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific football clubs, particularly Bayern Munich

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owder
    -0.82
    skinned
    -0.82
    maxwell
    -0.77
    earchers
    -0.71
    ramid
    -0.70
    ippery
    -0.66
    umbn
    -0.66
    regon
    -0.65
    pir
    -0.65
    EStream
    -0.65
    POSITIVE LOGITS
     Munich
    1.47
     Mü
    1.24
     Bayern
    1.01
    sburg
    0.95
     Dortmund
    0.94
     Bundesliga
    0.89
     Guardiola
    0.83
    stadt
    0.83
    è»
    0.76
    furt
    0.75
    Activations Density 0.007%

    No Known Activations