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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. 2235
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    Explanations

    proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns related to specific individuals and entities

    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
     seriously
    -0.69
     Indo
    -0.66
     graffiti
    -0.65
     IDE
    -0.65
     underwater
    -0.62
     deduction
    -0.62
     unchanged
    -0.61
     manufacturing
    -0.60
     working
    -0.59
     ultras
    -0.59
    POSITIVE LOGITS
    ucci
    1.24
    rigan
    1.18
    angelo
    1.18
    bolt
    1.13
    arella
    1.10
    allo
    1.10
    acci
    1.09
    lett
    1.09
    anton
    1.08
    inelli
    1.07
    Activations Density 0.096%

    No Known Activations