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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. 9-RES-JB
    11. 6901
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    code snippets or technical terms related to programming

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otte
    -0.74
    çĶ°
    -0.72
    offensive
    -0.66
    idelines
    -0.65
    ãĥ¼ãĥĨãĤ£
    -0.64
    kus
    -0.63
    itzer
    -0.63
    shed
    -0.63
    reck
    -0.61
     Clash
    -0.61
    POSITIVE LOGITS
     &&
    1.08
     }
    1.06
     else
    1.03
     ;;
    0.98
     //
    0.94
     ;
    0.92
     ||
    0.92
     /*
    0.92
     endif
    0.91
     ###
    0.90
    Activations Density 0.094%

    No Known Activations