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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10920
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    INDEX
    Explanations

    mentions of the name "Oscar"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Oscar Awards and related figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivities
    -0.70
    20439
    -0.70
    ths
    -0.69
    icago
    -0.69
    arity
    -0.68
    £ı
    -0.68
    INESS
    -0.67
    ependence
    -0.67
     subsistence
    -0.67
    ipper
    -0.66
    POSITIVE LOGITS
     Wilde
    1.19
     Awards
    0.86
     nominations
    0.84
     winner
    0.80
     nominated
    0.75
     Mayer
    0.74
     Nebula
    0.73
     Award
    0.73
     nomination
    0.73
    WIN
    0.72
    Activations Density 0.006%

    No Known Activations