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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. 0-RES-JB
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    Explanations

    references to art collectors or individuals who collect items

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of collectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shaky
    -0.75
     liberalism
    -0.65
     Breitbart
    -0.64
    rame
    -0.64
     Lean
    -0.64
     Decision
    -0.63
    irmation
    -0.62
     Sharia
    -0.61
     Marin
    -0.61
    qus
    -0.60
    POSITIVE LOGITS
     collector
    3.98
     collectors
    3.54
     Collector
    2.79
     collecting
    1.96
    collect
    1.90
    Collect
    1.89
     collections
    1.68
     collect
    1.66
     collection
    1.62
    collection
    1.61
    Activations Density 0.023%

    No Known Activations