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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. 444
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    Explanations

    references to historical figures or events, especially related to negotiations or deals

    oai_token-act-pair · gpt-3.5-turbo
    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
     Ace
    -1.04
     Xan
    -0.85
     Gord
    -0.78
     Bark
    -0.76
     serpent
    -0.76
     Onion
    -0.76
     Aure
    -0.76
     Yak
    -0.76
     Elise
    -0.75
     HOR
    -0.75
    POSITIVE LOGITS
    mann
    0.94
    imm
    0.86
     McCabe
    0.85
    EStream
    0.80
    ref
    0.78
    ITT
    0.76
    Prev
    0.75
     Webb
    0.75
     Pitt
    0.75
    olina
    0.74
    Activations Density 0.535%

    No Known Activations