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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
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    Explanations

    accidental actions or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "accidentally" and related terms describing unintentional actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.84
    riors
    -0.82
    law
    -0.77
    joy
    -0.72
    League
    -0.69
    net
    -0.69
    anche
    -0.68
    soon
    -0.68
    ophy
    -0.67
    etics
    -0.67
    POSITIVE LOGITS
     accidentally
    0.96
     inadvertently
    0.95
     stumbled
    0.94
     unintentionally
    0.90
     stumble
    0.88
     spilled
    0.87
     bumped
    0.83
    identally
    0.80
     unwittingly
    0.78
     goof
    0.77
    Activations Density 0.054%

    No Known Activations