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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. 11-RES-JB
    11. 1365
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    INDEX
    Explanations

    references to reading text or books

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions and calls to action regarding reading specific content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.67
    ©¶æ¥µ
    -0.66
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    UGC
    -0.64
    rolet
    -0.63
    factor
    -0.63
    negie
    -0.63
    ãĤ´ãĥ³
    -0.63
    senal
    -0.62
    rio
    -0.62
    POSITIVE LOGITS
     aloud
    1.42
     synopsis
    1.04
     newspapers
    1.03
     newspaper
    1.02
     article
    1.01
     articles
    0.99
     blogs
    0.98
     carefully
    0.96
     reviews
    0.94
     papers
    0.93
    Activations Density 0.123%

    No Known Activations