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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. 7-RES-JB
    11. 10065
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    Explanations

    phrases related to regulations or bans

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 's' in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rothschild
    -0.70
     Berks
    -0.65
     Sinn
    -0.64
     Lauder
    -0.58
     Santorum
    -0.57
     Labour
    -0.57
     Persia
    -0.56
    Compare
    -0.56
     Thomson
    -0.55
     Hear
    -0.53
    POSITIVE LOGITS
    ullivan
    1.12
    ources
    1.05
    ELF
    1.02
    aturated
    1.01
    ayers
    0.99
    leeve
    0.96
    lightly
    0.95
    pecially
    0.93
    niper
    0.93
    aurus
    0.93
    Activations Density 0.171%

    No Known Activations