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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. 9-RES-JB
    11. 17660
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    INDEX
    Explanations

    provocative or engaging statements like headlines or discussion prompts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "this."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -0.76
    alties
    -0.71
     Morse
    -0.65
    nown
    -0.62
    AFTA
    -0.62
    llor
    -0.62
    ©¶æ¥µ
    -0.61
    uther
    -0.61
    adle
    -0.61
     Phelps
    -0.61
    POSITIVE LOGITS
     item
    0.98
     week
    0.84
     article
    0.84
     nifty
    0.84
     addon
    0.79
     month
    0.78
     crate
    0.76
     year
    0.76
     adorable
    0.75
     subreddit
    0.75
    Activations Density 0.045%

    No Known Activations