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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. 3-RES-JB
    11. 16994
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    INDEX
    Explanations

    acronyms in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    parenthetical references and citations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    osaurs
    -0.83
     tremend
    -0.76
    quished
    -0.76
     lull
    -0.76
    erence
    -0.72
     wre
    -0.71
     icy
    -0.70
     Lumpur
    -0.67
     nightly
    -0.66
     glare
    -0.66
    POSITIVE LOGITS
    sic
    1.43
    see
    1.24
    emphasis
    1.24
    including
    1.23
    formerly
    1.19
    ...)
    1.14
    via
    1.14
    /)
    1.13
    which
    1.12
    excluding
    1.11
    Activations Density 0.222%

    No Known Activations