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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. 11-RES-JB
    11. 5044
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    Explanations

    locations and directions

    oai_token-act-pair · gpt-3.5-turbo

    key moments of tension or drama in the narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uggest
    -0.73
    Month
    -0.70
    rency
    -0.70
    months
    -0.69
    kun
    -0.68
    д
    -0.66
    netflix
    -0.66
    iasis
    -0.66
    vernight
    -0.65
    OUP
    -0.65
    POSITIVE LOGITS
     podium
    1.43
     booth
    1.39
     benches
    1.31
     seats
    1.30
     aisle
    1.29
     seating
    1.29
     scoreboard
    1.29
     microphone
    1.28
     sidelines
    1.27
     booths
    1.26
    Activations Density 0.334%

    No Known Activations