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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. 3112
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    Explanations

    web addresses and signs with monetary values

    oai_token-act-pair · gpt-3.5-turbo

    patterns of punctuation and formatting in the text

    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
     Tuls
    -0.62
     Pipeline
    -0.61
     Strongh
    -0.57
     utilizing
    -0.56
     UCH
    -0.54
     Updated
    -0.54
    Rated
    -0.54
     MSI
    -0.54
     ILCS
    -0.53
     Expansion
    -0.53
    POSITIVE LOGITS
     pse
    0.86
     guesses
    0.57
     fellows
    0.57
    talk
    0.56
     intellectuals
    0.56
     eaves
    0.55
     scept
    0.53
    letters
    0.53
    ithmetic
    0.52
     vaguely
    0.52
    Activations Density 2.079%

    No Known Activations