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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. 6-RES-JB
    11. 9518
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    Explanations

    food-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to pie in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iveness
    -0.88
    runners
    -0.75
    sers
    -0.74
     EDITION
    -0.71
    spring
    -0.71
    iqueness
    -0.69
    worthiness
    -0.69
     Examiner
    -0.68
     wip
    -0.67
     Luther
    -0.65
    POSITIVE LOGITS
     pie
    1.13
    pie
    1.12
     pies
    1.10
    ced
    0.99
    cing
    0.97
    Pie
    0.96
     crust
    0.95
    MpServer
    0.88
     Pie
    0.87
    artisan
    0.85
    Activations Density 0.018%

    No Known Activations