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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. 8-RES-JB
    11. 10228
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    Explanations

    information and documents obtained through various means, such as requests, interviews, or leaks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to information acquisition or retrieval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tons
    -0.67
    coat
    -0.66
    mare
    -0.62
    sit
    -0.62
    olas
    -0.60
    idth
    -0.60
    apest
    -0.59
    atever
    -0.59
    case
    -0.57
     Phillip
    -0.55
    POSITIVE LOGITS
     via
    0.87
     from
    0.86
     by
    0.82
     anecd
    0.81
     during
    0.79
     BY
    0.78
     through
    0.76
     anonymously
    0.75
     incidentally
    0.75
     electronically
    0.73
    Activations Density 0.164%

    No Known Activations