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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. 7-RES-JB
    11. 11303
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    INDEX
    Explanations

    words related to user engagement or interaction in various contexts, such as readers, viewers, shoppers, players, or users

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups engaging with content or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.77
    ITAL
    -0.66
    Thumbnail
    -0.64
    Capital
    -0.62
    ASED
    -0.61
     Medium
    -0.57
    Tang
    -0.57
    NC
    -0.55
    kun
    -0.54
    AV
    -0.54
    POSITIVE LOGITS
    hip
    0.88
    hips
    0.81
     alike
    0.75
     beware
    0.71
     downstream
    0.71
    rupal
    0.69
     everywhere
    0.66
    inki
    0.64
     smugglers
    0.64
    pace
    0.63
    Activations Density 0.179%

    No Known Activations