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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
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    Explanations

    names of sports players

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals, particularly focusing on the name "Coleman" and other associated names

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    arro
    -0.92
    sf
    -0.82
    raltar
    -0.81
    gments
    -0.79
    ged
    -0.78
    abet
    -0.77
    imon
    -0.76
    erb
    -0.75
    ators
    -0.75
    abad
    -0.74
    POSITIVE LOGITS
     Coleman
    0.95
     Cortana
    0.82
     spice
    0.79
     Hawkins
    0.79
     Flavoring
    0.78
    idge
    0.74
     Harmon
    0.71
     Ratings
    0.67
     Franklin
    0.63
    âĶĢ
    0.63
    Activations Density 0.132%

    No Known Activations