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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. 9-RES-JB
    11. 24156
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    Explanations

    time-related terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    avorite
    -0.76
    haar
    -0.69
    allas
    -0.64
    matically
    -0.62
    Sund
    -0.62
    halla
    -0.61
    ging
    -0.59
    emale
    -0.58
    mers
    -0.58
    ishes
    -0.57
    POSITIVE LOGITS
     Newsweek
    0.67
    cens
    0.65
    urst
    0.61
     of
    0.61
    uncture
    0.61
    SPONSORED
    0.58
    ãĤ½
    0.58
     Unsure
    0.57
    ohan
    0.56
     writing
    0.56
    Activations Density 0.052%

    No Known Activations