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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. 16735
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    Explanations

    terms related to locations, organizations, and specific entities

    oai_token-act-pair · gpt-3.5-turbo

    references to companies, organizations, or significant locations

    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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    No Comments

    Negative Logits
    ratulations
    -0.69
    ataka
    -0.59
     pudding
    -0.57
     narrator
    -0.57
     airflow
    -0.56
     progress
    -0.56
    ctors
    -0.56
     crust
    -0.55
     dossier
    -0.55
    ÑĮ
    -0.54
    POSITIVE LOGITS
     behest
    1.09
     expense
    0.93
     apiece
    0.89
     helm
    0.84
     intersections
    0.83
    Aren
    0.81
     headquarters
    0.80
     level
    0.75
     Studios
    0.74
    localhost
    0.73
    Activations Density 0.449%

    No Known Activations