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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. 10-RES-JB
    11. 10338
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    Explanations

    phrases related to progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    references to various medical and scientific terms or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.75
     specially
    -0.63
     Gou
    -0.61
    UGH
    -0.60
     Quartz
    -0.60
    chy
    -0.60
    KER
    -0.59
    footed
    -0.59
     Forestry
    -0.58
     Lands
    -0.58
    POSITIVE LOGITS
    nostic
    1.35
    nosis
    1.33
    resso
    1.18
    rade
    1.18
    eny
    1.06
    amate
    1.00
    ulates
    0.98
    rad
    0.97
    ulations
    0.96
    ener
    0.95
    Activations Density 0.034%

    No Known Activations