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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. 16578
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    INDEX
    Explanations

    mentions of reading or related activities such as reading books and articles

    oai_token-act-pair · gpt-3.5-turbo

    references to reading or books

    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
    byn
    -0.65
    roit
    -0.64
    pox
    -0.61
    hra
    -0.60
    amera
    -0.60
    Giving
    -0.60
    lla
    -0.59
    negie
    -0.59
    atre
    -0.59
    agara
    -0.58
    POSITIVE LOGITS
     aloud
    1.37
    just
    1.13
     about
    0.97
     books
    0.97
    dress
    0.96
     excerpts
    0.95
     passages
    0.93
     comprehension
    0.92
     articles
    0.90
    ied
    0.89
    Activations Density 0.061%

    No Known Activations