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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. 3-RES-JB
    11. 17239
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    INDEX
    Explanations

    mentions of school-related items or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific demographics, particularly children and young people

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    obin
    -0.77
    henko
    -0.76
     omission
    -0.74
    emonic
    -0.72
    amount
    -0.72
    Ö¼
    -0.71
    ajor
    -0.69
    jiang
    -0.68
    odic
    -0.68
    emort
    -0.67
    POSITIVE LOGITS
     Gardens
    0.77
     kitchens
    0.66
     gardens
    0.66
     Shelby
    0.64
     Cemetery
    0.64
     barracks
    0.63
     Shirley
    0.63
     Private
    0.63
     catering
    0.63
     shelves
    0.62
    Activations Density 1.436%

    No Known Activations