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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. 11-RES-JB
    11. 5396
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    oai_token-act-pair · gpt-3.5-turbo

    elements related to digital communication and references to social media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilib
    -0.92
    elaide
    -0.85
    \\\\
    -0.84
    eff
    -0.82
     Bry
    -0.81
    UFF
    -0.76
    esp
    -0.75
    irements
    -0.75
     Vec
    -0.72
    Lib
    -0.72
    POSITIVE LOGITS
     Pan
    2.13
    Pan
    2.02
     PAN
    1.80
    pan
    1.70
     pan
    1.51
     Tan
    1.34
     Kan
    1.33
     Panama
    1.31
     Zan
    1.26
     Span
    1.23
    Activations Density 0.375%

    No Known Activations