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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. 9-RES-JB
    11. 19946
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    Explanations

    specific terms related to charts and charting

    oai_token-act-pair · gpt-3.5-turbo

    references to charts and data visualization elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Romeo
    -0.73
    ignt
    -0.62
     Chinatown
    -0.62
    vae
    -0.61
     Cic
    -0.59
     LIMITED
    -0.59
     Mub
    -0.58
    ntil
    -0.58
    INGTON
    -0.57
     Goodman
    -0.57
    POSITIVE LOGITS
    ered
    1.29
    ued
    0.95
    erer
    0.93
    chart
    0.86
    erers
    0.85
    ographer
    0.82
    maker
    0.82
    makers
    0.81
    acent
    0.79
    uration
    0.78
    Activations Density 0.037%

    No Known Activations