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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. 7-RES-JB
    11. 13366
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    Explanations

    references to scientific studies and research topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to research limitations and needs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Restaur
    -1.00
     Tycoon
    -0.80
     Rebell
    -0.80
     Eater
    -0.78
     Salvation
    -0.77
     Chili
    -0.77
     Carnage
    -0.76
     Amen
    -0.75
     Statue
    -0.75
     Walking
    -0.74
    POSITIVE LOGITS
     methodological
    1.26
     analys
    1.17
     analytical
    1.17
     studying
    1.09
     analytic
    1.09
     scholarly
    1.06
     rigorous
    1.04
     computational
    1.03
     analyzing
    1.03
     analyses
    1.02
    Activations Density 1.086%

    No Known Activations