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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. 7-RES-JB
    11. 21143
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    Explanations

    proper nouns from various fields like names of people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with prominent figures, particularly in politics and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Load
    -0.72
     subscript
    -0.69
     Seym
    -0.67
     Vec
    -0.63
     Ukrain
    -0.63
     Wem
    -0.61
     discrep
    -0.61
     pecul
    -0.61
     pestic
    -0.58
     specificity
    -0.58
    POSITIVE LOGITS
     Jr
    1.53
     Sr
    1.13
     famously
    0.95
     III
    0.92
    enegger
    0.86
    Jr
    0.84
    erson
    0.77
    ervatives
    0.74
     aka
    0.73
    's
    0.70
    Activations Density 0.228%

    No Known Activations