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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
    11. 4063
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    Explanations

    descriptions of physical attributes like height and weight

    oai_token-act-pair · gpt-3.5-turbo

    measurements and descriptions of physical attributes

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    sth
    -0.83
    ezvous
    -0.73
    enge
    -0.71
    ingen
    -0.70
    heit
    -0.69
     Trial
    -0.67
     Administ
    -0.66
     WARN
    -0.66
     Warn
    -0.66
    iction
    -0.66
    POSITIVE LOGITS
     athlet
    0.90
     skinny
    0.88
     hips
    0.87
     athleticism
    0.85
     blond
    0.83
     tall
    0.83
     blonde
    0.82
     athletic
    0.82
     nails
    0.78
    inches
    0.74
    Activations Density 0.107%

    No Known Activations