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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. 11-RES-JB
    11. 12932
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    Explanations

    statistics related to individual performance in a sports context, like points scored and games played

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating player statistics and performance in sports

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ools
    -0.76
    urches
    -0.74
    romy
    -0.71
    wcsstore
    -0.68
    uned
    -0.67
    pull
    -0.65
    alogy
    -0.65
    jit
    -0.65
    alog
    -0.65
    orage
    -0.64
    POSITIVE LOGITS
     evidenced
    0.87
     opposed
    0.87
    pires
    0.85
     teammate
    0.84
     scorer
    0.81
     rookies
    0.81
     well
    0.81
     teammates
    0.80
     starter
    0.80
    pired
    0.77
    Activations Density 0.054%

    No Known Activations