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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. 2-RES-JB
    6. 8910
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    Explanations

    keywords related to a specific entity or brand (SK)

    oai_token-act-pair · gpt-3.5-turbo

    references to "SK" as an entity, indicating a focus on a specific team or organization in a competitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mayweather
    -0.81
     Manson
    -0.74
     Triangle
    -0.68
     Milton
    -0.67
     Revenge
    -0.66
    riad
    -0.66
     revolving
    -0.65
     Cosby
    -0.65
     Kavanaugh
    -0.64
     Romero
    -0.61
    POSITIVE LOGITS
    IPP
    0.98
    SK
    0.92
    IRT
    0.89
    ull
    0.88
    ipp
    0.87
     SK
    0.84
    ASS
    0.82
    SE
    0.82
    ILL
    0.80
    IES
    0.80
    Activations Density 0.006%

    No Known Activations