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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. 24512
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    INDEX
    Explanations

    dates and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    quantitative references relating to population or statistics

    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
     incre
    -0.32
     detrim
    -0.32
     disproportion
    -0.31
     destro
    -0.29
     disadvant
    -0.29
     inval
    -0.28
     disag
    -0.27
    *.
    -0.27
     porous
    -0.27
     hemor
    -0.27
    POSITIVE LOGITS
    UFC
    0.30
    Republicans
    0.29
    LGBT
    0.28
    Wiki
    0.27
    Bitcoin
    0.27
     UFC
    0.26
    Brexit
    0.26
    Intel
    0.26
    Clinton
    0.26
    Å«
    0.25
    Activations Density 2.585%

    No Known Activations