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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. 3595
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    Explanations

    technical terms and jargon related to data analysis and research methods

    oai_token-act-pair · gpt-3.5-turbo

    topics related to statistics and health concerns

    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
     finally
    -0.79
     Soon
    -0.71
     Tomorrow
    -0.65
     soon
    -0.63
     Finally
    -0.61
     abruptly
    -0.60
    Soon
    -0.59
     Suddenly
    -0.58
     anew
    -0.57
     kickoff
    -0.57
    POSITIVE LOGITS
     misconception
    1.01
     analogy
    0.94
     opin
    0.93
     disadvantages
    0.91
     understatement
    0.91
     anecdotal
    0.91
     anecdote
    0.89
     fallacy
    0.89
     proverb
    0.88
     exaggeration
    0.87
    Activations Density 1.073%

    No Known Activations