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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. 11710
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    Explanations

    statements related to the release or publication of documents or books

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the release of documents or papers

    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
    ranch
    -0.77
    apesh
    -0.76
    mare
    -0.76
    arthy
    -0.74
    rano
    -0.70
    ouple
    -0.69
    intensity
    -0.69
    Domin
    -0.68
    athlon
    -0.67
     Ventures
    -0.66
    POSITIVE LOGITS
     printed
    1.22
     booklet
    1.19
     journals
    1.16
     circulated
    1.15
     scrolls
    1.15
     typew
    1.14
     archives
    1.13
     handwritten
    1.11
     pdf
    1.06
     notebooks
    1.06
    Activations Density 0.675%

    No Known Activations