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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. 3-RES-JB
    11. 469
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    INDEX
    Explanations

    mentions related to companies or brands, specifically those referred to as icons

    oai_token-act-pair · gpt-3.5-turbo

    references to icons or iconic figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reliance
    -0.65
    ecause
    -0.64
    riter
    -0.59
    ebin
    -0.58
    EE
    -0.57
     fundament
    -0.57
     uncom
    -0.57
    aken
    -0.57
    undai
    -0.56
     dup
    -0.56
    POSITIVE LOGITS
    icon
    1.23
    nect
    1.18
    ically
    1.04
    ico
    0.95
    itus
    0.95
    fig
    0.92
    ":""},{"
    0.90
    esis
    0.87
    ica
    0.86
    æ©
    0.85
    Activations Density 0.014%

    No Known Activations