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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. 2258
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    Explanations

    dates, years, and specific numerical values mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    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
    andem
    -0.67
    ress
    -0.64
    osures
    -0.62
    ocaust
    -0.61
    ega
    -0.61
    urai
    -0.60
    aukee
    -0.59
    stead
    -0.59
    cosystem
    -0.57
    orf
    -0.56
    POSITIVE LOGITS
     they
    0.91
    soever
    0.83
     although
    0.75
     fateful
    0.74
     "[
    0.71
    eday
    0.70
     '[
    0.69
     we
    0.69
     there
    0.67
     he
    0.67
    Activations Density 0.272%

    No Known Activations