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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. 11358
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    Explanations

    references or mentions of the Green Bay Packers

    oai_token-act-pair · gpt-3.5-turbo

    references to the Green Bay Packers football team

    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
    accompanied
    -0.69
    rily
    -0.69
    oys
    -0.66
    awei
    -0.66
    schild
    -0.66
    ively
    -0.65
    ugu
    -0.64
     Britann
    -0.64
    adr
    -0.64
    olkien
    -0.64
    POSITIVE LOGITS
     Packers
    1.05
     Athletic
    1.04
     Athletics
    0.94
     Networks
    0.84
     Injury
    0.83
     Lightning
    0.82
     Buccaneers
    0.81
     Chiefs
    0.76
     Express
    0.73
     Giants
    0.70
    Activations Density 0.063%

    No Known Activations