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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. 9209
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    Explanations

    unexpected or surprising discoveries or information

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or shock regarding information or events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.71
     freely
    -0.71
     conduit
    -0.65
     corrid
    -0.63
     spons
    -0.62
     unrestricted
    -0.62
     guarant
    -0.62
     upkeep
    -0.62
     equivalents
    -0.61
    verning
    -0.60
    POSITIVE LOGITS
     Clown
    0.79
    antics
    0.71
     Archdemon
    0.68
    etheless
    0.65
    kid
    0.64
     Eleven
    0.63
    OUS
    0.62
    DERR
    0.62
    cean
    0.61
    Reviewer
    0.59
    Activations Density 0.454%

    No Known Activations