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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. 3489
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    Explanations

    keywords related to clarity and precision

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating clarity or transparency

    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
     tremend
    -0.76
    inse
    -0.73
    uld
    -0.73
    FactoryReloaded
    -0.72
     Loft
    -0.70
    cture
    -0.66
     nostalg
    -0.64
    cules
    -0.62
    eries
    -0.62
    ITAL
    -0.61
    POSITIVE LOGITS
    ances
    1.29
    cut
    1.25
    headed
    1.00
    ance
    0.99
    cutting
    0.97
    cuts
    0.94
     deline
    0.90
     indication
    0.87
     sailing
    0.83
     skies
    0.80
    Activations Density 0.056%

    No Known Activations