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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. 4-RES-JB
    11. 4701
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    Explanations

    phrases related to specific names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or organizations

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

    No Comments

    Negative Logits
    mented
    -0.79
    iago
    -0.78
    egg
    -0.75
     Mub
    -0.73
    pent
    -0.72
    TON
    -0.70
    ph
    -0.69
    legged
    -0.68
    ania
    -0.67
    vic
    -0.66
    POSITIVE LOGITS
    Ĥª
    0.79
     municip
    0.77
    urses
    0.74
    heet
    0.69
    uits
    0.69
     Wem
    0.68
    apolis
    0.67
    waukee
    0.66
    ashtra
    0.64
    icago
    0.64
    Activations Density 0.036%

    No Known Activations