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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. 1473
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    Explanations

    words related to formal written communication

    oai_token-act-pair · gpt-3.5-turbo

    references to "letters" or "letter" in various contexts

    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
    rises
    -0.70
    olve
    -0.70
    olves
    -0.66
     CCTV
    -0.62
    ptions
    -0.62
    aned
    -0.61
    ESCO
    -0.61
    issan
    -0.58
    alon
    -0.58
    rifice
    -0.58
    POSITIVE LOGITS
    boxing
    0.98
     addressed
    0.95
     requesting
    0.91
    head
    0.91
     outlining
    0.90
    letter
    0.90
    press
    0.88
    boxes
    0.87
     informing
    0.87
    Letter
    0.87
    Activations Density 0.056%

    No Known Activations