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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. 8-RES-JB
    11. 21750
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    Explanations

    specific times of the day

    oai_token-act-pair · gpt-3.5-turbo

    references to times and schedules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     behav
    -0.64
     favour
    -0.61
    schild
    -0.60
     stewards
    -0.60
     literature
    -0.59
     collaborations
    -0.57
    smanship
    -0.57
     searched
    -0.56
     collectors
    -0.56
     conson
    -0.56
    POSITIVE LOGITS
    .,
    1.37
    .?
    1.16
     EDT
    1.16
    .;
    1.15
    .:
    1.14
    .,"
    1.02
     EST
    1.00
     PDT
    0.98
     ET
    0.96
    aturdays
    0.95
    Activations Density 0.021%

    No Known Activations