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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. 20007
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    Explanations

    names of specific individuals or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to key political figures or authorities

    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
    essional
    -0.68
    raphics
    -0.68
     Celtic
    -0.68
    ãĥĥãĥĪ
    -0.68
     Editors
    -0.67
    ãģ¦
    -0.67
    ttp
    -0.66
     Dee
    -0.65
    ãĤ¤ãĥĪ
    -0.65
    ãĥĨ
    -0.65
    POSITIVE LOGITS
     Maduro
    1.22
    ascus
    0.88
     Jinping
    0.88
    arov
    0.81
     dictatorship
    0.76
    halla
    0.76
    enezuel
    0.75
    oÄŁ
    0.75
     Chavez
    0.74
    illo
    0.73
    Activations Density 0.003%

    No Known Activations