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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. 4-RES-JB
    11. 2131
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    Explanations

    phrases related to entering information or commands

    oai_token-act-pair · gpt-3.5-turbo

    commands or instructions related to input processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    externalActionCode
    -0.79
     unaffected
    -0.73
     Nationwide
    -0.71
     Nanto
    -0.70
     Bridgewater
    -0.68
    chwitz
    -0.64
     Barrier
    -0.63
     Closing
    -0.63
    ilyn
    -0.60
     Proceedings
    -0.60
    POSITIVE LOGITS
    abel
    0.79
    ifferent
    0.74
    umeric
    0.73
     inputs
    0.73
     guiName
    0.70
    Submit
    0.70
    tainment
    0.68
    FTWARE
    0.67
    Arcade
    0.65
     Submit
    0.65
    Activations Density 0.191%

    No Known Activations