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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. 17542
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    Explanations

    references to specific individuals in the context of sports, particularly football players

    oai_token-act-pair · gpt-3.5-turbo

    references to notable athletes and their actions related to controversies or legal issues

    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
     constitu
    -0.72
     MIS
    -0.71
    eq
    -0.70
     Conclusion
    -0.70
    ammy
    -0.68
    service
    -0.66
    esley
    -0.66
    Lex
    -0.65
    akespe
    -0.63
    nces
    -0.62
    POSITIVE LOGITS
     Kaepernick
    1.30
    aepernick
    1.06
    eteenth
    0.83
     jerseys
    0.81
     kneeling
    0.80
     kne
    0.77
    ovich
    0.76
     Osw
    0.74
    uler
    0.71
    istani
    0.70
    Activations Density 0.005%

    No Known Activations