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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. 8-RES-JB
    11. 8307
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    Explanations

    words related to emotional reactions such as surprise, joy, frustration, and disappointment

    oai_token-act-pair · gpt-3.5-turbo

    emotional states and feelings typically associated with surprise and frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stabilization
    -0.62
    rame
    -0.61
     context
    -0.61
    illary
    -0.61
    aceutical
    -0.61
     Kinnikuman
    -0.59
    utical
    -0.58
     neb
    -0.58
    ="/
    -0.57
    lay
    -0.57
    POSITIVE LOGITS
    ingly
    0.90
     exclaim
    0.78
    kid
    0.78
    sbm
    0.75
     aloud
    0.73
    stru
    0.73
     appalled
    0.71
    urous
    0.70
    à¥
    0.69
     aback
    0.68
    Activations Density 0.172%

    No Known Activations