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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. 9-RES-JB
    11. 1730
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    Explanations

    words related to specific processors or technology components, particularly those from a company or brand named "Exynos"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Exynos processor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ARTICLE
    -0.64
     caution
    -0.63
    lessly
    -0.60
     bearer
    -0.60
    HAEL
    -0.59
     Yard
    -0.57
    EMP
    -0.57
    itated
    -0.56
     ACTION
    -0.56
     refrain
    -0.56
    POSITIVE LOGITS
    aptic
    0.99
    nen
    0.92
    thia
    0.91
    ocent
    0.83
    ergic
    0.82
    olds
    0.82
    onymous
    0.81
    s
    0.80
    pher
    0.80
    sis
    0.78
    Activations Density 0.048%

    No Known Activations