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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. 0-RES-JB
    6. 5957
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    Explanations

    capitalized words "AN" followed by another capitalized word

    oai_token-act-pair · gpt-3.5-turbo

    the mention of specific acronyms or abbreviations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shale
    -0.76
    duct
    -0.72
    ucket
    -0.68
    ibles
    -0.65
    endas
    -0.65
    emouth
    -0.64
     loft
    -0.62
    rero
    -0.62
    uration
    -0.62
    ynasty
    -0.61
    POSITIVE LOGITS
     AN
    3.49
    AN
    1.57
     AS
    1.43
    ANI
    1.33
     AU
    1.33
     SAN
    1.30
     AUT
    1.27
     MAN
    1.25
     An
    1.24
     ART
    1.21
    Activations Density 0.008%

    No Known Activations