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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. 3730
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    Explanations

    opportunities or moments where something can happen or be evaluated

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "chance."

    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
    DCS
    -0.90
    aida
    -0.75
    rete
    -0.72
    Chief
    -0.71
    Supported
    -0.71
    ince
    -0.70
    Cart
    -0.69
    lisher
    -0.69
    Traditional
    -0.69
    Aust
    -0.68
    POSITIVE LOGITS
    llor
    1.09
     Rouhani
    0.86
     chance
    0.84
     opportunity
    0.77
    vre
    0.75
    imester
    0.74
     fir
    0.73
    izons
    0.72
     opportunities
    0.72
    finder
    0.71
    Activations Density 0.031%

    No Known Activations