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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. 4-RES-JB
    11. 16620
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    Explanations

    terms related to different positions on a sports team, specifically related to defensive positions like "centre-back" or "full-back"

    oai_token-act-pair · gpt-3.5-turbo

    references to different positions in a sports team, particularly in football/soccer

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

    No Comments

    Negative Logits
    igslist
    -0.76
     Neighborhood
    -0.76
     Neighbor
    -0.75
    zos
    -0.74
     Streets
    -0.70
     neighborhoods
    -0.68
    Snow
    -0.68
    imoto
    -0.66
    std
    -0.65
     Martian
    -0.65
    POSITIVE LOGITS
     winger
    0.97
    team
    0.92
     defender
    0.91
     coach
    0.89
     goalkeeper
    0.88
     midfielder
    0.85
     Nigel
    0.84
     defence
    0.82
     Roberto
    0.80
     scorer
    0.79
    Activations Density 0.099%

    No Known Activations