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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. 3-RES-JB
    11. 11392
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    Explanations

    computer code-like strings made up of alternating uppercase and lowercase letters

    oai_token-act-pair · gpt-3.5-turbo

    the word "important" and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.95
    hement
    -0.71
    Reviewer
    -0.69
     Gors
    -0.66
     Conduct
    -0.62
     Intent
    -0.60
    pmwiki
    -0.60
     Flavoring
    -0.59
    ãĤ¸
    -0.57
     VIEW
    -0.56
    POSITIVE LOGITS
    âĪĴ
    0.75
    repeat
    0.74
    EStream
    0.69
    azo
    0.68
    gz
    0.67
    example
    0.67
    cko
    0.67
    xon
    0.66
    rg
    0.65
    issue
    0.63
    Activations Density 1.065%

    No Known Activations