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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. 6-RES-JB
    11. 14895
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    Explanations

    references to specific sports teams, mainly "Bills."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    judicial
    -0.78
    nces
    -0.76
    antly
    -0.74
    renheit
    -0.71
    utic
    -0.71
    iannopoulos
    -0.70
    tml
    -0.69
    ctica
    -0.69
    anyahu
    -0.68
    uters
    -0.67
    POSITIVE LOGITS
    '
    0.91
     faithful
    0.85
     Lions
    0.79
     Raiders
    0.77
     bullpen
    0.75
     Vikings
    0.74
     Players
    0.73
     franchise
    0.72
    men
    0.72
     Athletics
    0.72
    Activations Density 0.072%

    No Known Activations