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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. 10-RES-JB
    11. 3225
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    Explanations

    words related to news articles or journalistic content

    oai_token-act-pair · gpt-3.5-turbo

    references to articles or segments within articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asters
    -0.74
    alth
    -0.73
    kson
    -0.72
    cffffcc
    -0.71
    enthal
    -0.68
    aterasu
    -0.66
    uits
    -0.65
    merce
    -0.64
    bledon
    -0.64
    aukee
    -0.64
    POSITIVE LOGITS
     Continued
    1.20
     CONTIN
    0.91
     continues
    0.89
     Contin
    0.86
    ICLE
    0.77
     excerpt
    0.70
     omitted
    0.70
     VIII
    0.68
     VII
    0.67
     contents
    0.67
    Activations Density 0.014%

    No Known Activations