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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. 11-RES-JB
    11. 23212
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    Explanations

    phrases related to specific actions or behaviors, such as smoking, cooking, trading, or learning

    oai_token-act-pair · gpt-3.5-turbo

    various action verbs related to activities, especially those involving smoking, cooking, and performing tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.64
    aez
    -0.62
    hire
    -0.62
    resa
    -0.62
    quart
    -0.61
    emonic
    -0.60
    word
    -0.59
    icus
    -0.59
    Synopsis
    -0.59
    orum
    -0.59
    POSITIVE LOGITS
     differently
    1.07
     separately
    1.01
     fewer
    0.98
     without
    0.96
     anything
    0.95
     directly
    0.95
     alongside
    0.93
     something
    0.93
     everything
    0.91
     them
    0.90
    Activations Density 0.463%

    No Known Activations