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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. 6-RES-JB
    11. 24434
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    Explanations

    specific questions about various topics

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and the word "about" in the context of discussions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rencies
    -0.80
    ities
    -0.79
     channels
    -0.75
    abases
    -0.68
    inas
    -0.65
    bats
    -0.63
    clips
    -0.62
    ials
    -0.62
    riages
    -0.62
    chell
    -0.61
    POSITIVE LOGITS
     oneself
    0.66
    dden
    0.62
    İĭ
    0.61
     Scarlet
    0.60
     Wonderland
    0.59
    helm
    0.59
     scholarship
    0.59
    livious
    0.58
     commemorate
    0.56
    erous
    0.55
    Activations Density 0.508%

    No Known Activations