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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. 7-RES-JB
    11. 2667
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    Explanations

    mentions of edits or references in a document

    oai_token-act-pair · gpt-3.5-turbo

    elements associated with trivia or references to popular culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    answer
    -0.80
    Fit
    -0.79
    WARN
    -0.77
    anooga
    -0.75
    EMA
    -0.75
    utterstock
    -0.74
    ollah
    -0.74
    brainer
    -0.74
    hello
    -0.72
    apses
    -0.70
    POSITIVE LOGITS
     Edit
    1.10
    Trivia
    0.95
    ,[
    0.95
    Gallery
    0.94
    edit
    0.92
     canon
    0.90
    ".[
    0.90
     âĹ
    0.89
    Appearances
    0.89
     chronological
    0.86
    Activations Density 0.802%

    No Known Activations