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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. 22575
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    oai_token-act-pair · gpt-3.5-turbo

    references to social media interactions and discussions

    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
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    Negative Logits
     Springfield
    -0.81
    icent
    -0.79
     SQ
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    taboola
    -0.77
    rog
    -0.75
     Gö
    -0.71
    Ur
    -0.70
     owl
    -0.70
    LR
    -0.70
     Dispatch
    -0.69
    POSITIVE LOGITS
     Ben
    2.44
    Ben
    2.34
     BEN
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     Benjamin
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    1.82
     Benn
    1.23
    Bern
    1.05
     Bennett
    1.05
     Beau
    1.01
    Activations Density 0.189%

    No Known Activations