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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. 5411
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    Explanations

    information related to averages or statistical data

    oai_token-act-pair · gpt-3.5-turbo

    references to averages or typical examples

    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
    çīĪ
    -0.75
    andro
    -0.71
    hov
    -0.66
     Panzer
    -0.64
    nuts
    -0.64
    士
    -0.64
     Roads
    -0.64
    otent
    -0.63
     Nare
    -0.63
    aina
    -0.62
    POSITIVE LOGITS
     jo
    0.93
     weekday
    0.90
     hourly
    0.86
     fastball
    0.85
     sized
    0.85
    nesota
    0.82
    oday
    0.78
     yearly
    0.75
     weekly
    0.74
    llular
    0.74
    Activations Density 0.042%

    No Known Activations