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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. 4-RES-JB
    11. 13240
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    Explanations

    phrases that are explicitly stated or emphasized with certainty

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that indicate clarity or emphasis

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

    No Comments

    Negative Logits
     Ange
    -0.64
    onnaissance
    -0.62
    operation
    -0.62
     Kry
    -0.62
     Rost
    -0.62
    volent
    -0.61
    oute
    -0.61
     Pant
    -0.60
    odan
    -0.60
     Arbit
    -0.60
    POSITIVE LOGITS
    Ĥİ
    0.93
     housed
    0.88
     belonged
    0.85
     encountered
    0.80
     forg
    0.78
     obtained
    0.78
    Ł
    0.77
     represented
    0.76
     existed
    0.75
     belongs
    0.75
    Activations Density 0.419%

    No Known Activations