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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. 23275
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    Explanations

    time-related phrases indicating preparation or leading up to an event

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating preparation or events occurring in advance

    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
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    Negative Logits
     blat
    -0.61
     paran
    -0.59
     everyday
    -0.59
     fung
    -0.58
    alter
    -0.55
     sacrific
    -0.54
     loaf
    -0.54
    incinn
    -0.52
     revolving
    -0.52
     gobl
    -0.51
    POSITIVE LOGITS
     of
    0.70
    ascript
    0.68
    amount
    0.66
    holiday
    0.63
    atory
    0.62
    udo
    0.61
    ursday
    0.61
    uary
    0.59
    acio
    0.57
    rum
    0.57
    Activations Density 0.091%

    No Known Activations