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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 8-RES-JB
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    INDEX
    Explanations

    the word "Zeppelin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Zeppelin" or related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    DOWN
    -0.70
    ainers
    -0.68
    Interstitial
    -0.66
    wear
    -0.66
    channelAvailability
    -0.64
     provisional
    -0.64
    ials
    -0.64
    CLASSIFIED
    -0.61
     totality
    -0.60
    LESS
    -0.58
    POSITIVE LOGITS
    ppelin
    1.37
    lda
    1.17
    ppel
    1.12
    pez
    1.04
    itsch
    1.03
    plin
    1.00
    iger
    0.97
    iggurat
    0.93
    ichen
    0.92
    lder
    0.92
    Activations Density 0.026%

    No Known Activations