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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. 12-RES-JB
    11. 2867
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    Explanations

    words related to exaggeration or miraculous events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words related to exaggeration and hyperbole

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     exha
    -0.84
    ò
    -0.79
    Þ
    -0.77
     subur
    -0.76
    ß
    -0.75
    ñ
    -0.73
     behavi
    -0.71
     practition
    -0.70
     councill
    -0.70
    ThumbnailImage
    -0.69
    POSITIVE LOGITS
    ously
    0.95
    istically
    0.92
    ulously
    0.82
    arily
    0.82
    aneously
    0.79
    ately
    0.77
    icably
    0.76
    agically
    0.75
    inately
    0.75
    ALLY
    0.73
    Activations Density 0.097%

    No Known Activations