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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. 1730
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    Explanations

    dialogue cues or stage directions in written text such as brackets, parentheses, and laughter descriptions

    oai_token-act-pair · gpt-3.5-turbo

    signs of laughter or humorous elements in the text

    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
     centrally
    -0.79
     Mehran
    -0.79
     govern
    -0.75
     established
    -0.74
     depleted
    -0.74
     built
    -0.73
     manufact
    -0.72
     accrued
    -0.71
     converted
    -0.71
     accumulated
    -0.70
    POSITIVE LOGITS
    Laughs
    2.17
    laughs
    2.14
    laughter
    1.89
    laugh
    1.78
    Pause
    1.51
    pause
    1.49
    interrupted
    1.27
    sic
    1.22
    Insert
    1.19
    speaking
    1.18
    Activations Density 0.082%

    No Known Activations