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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. 1-RES-JB
    11. 21378
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    Explanations

    mentions of teammates in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of teammates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.83
    brow
    -0.75
    Crime
    -0.72
    ingo
    -0.69
    chin
    -0.68
    warning
    -0.68
    osc
    -0.67
    CV
    -0.66
    ser
    -0.66
    tt
    -0.66
    POSITIVE LOGITS
     teammates
    1.23
     teammate
    1.18
    mates
    0.93
     mates
    0.87
     jerseys
    0.79
     Coco
    0.74
     outfielder
    0.71
     rookies
    0.71
    iants
    0.70
     roomm
    0.70
    Activations Density 0.007%

    No Known Activations