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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. 7056
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases associated with character names or elements related to narrative structure

    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
    ufact
    -0.81
    Charges
    -0.62
    phia
    -0.61
    united
    -0.61
    earances
    -0.60
    Unity
    -0.59
     Clover
    -0.57
    atl
    -0.57
    intosh
    -0.57
    reciation
    -0.56
    POSITIVE LOGITS
    wagen
    1.03
    glers
    0.91
    istical
    0.73
    ivari
    0.72
    ĺ
    0.68
    etric
    0.61
    oslav
    0.60
    ocene
    0.60
    °
    0.60
     advis
    0.60
    Activations Density 0.157%

    No Known Activations