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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. 5190
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    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
     DRAG
    -0.77
     spoilers
    -0.73
     Pants
    -0.68
     trolls
    -0.68
     Deaths
    -0.68
     botched
    -0.66
     trailers
    -0.66
    ttes
    -0.66
     fools
    -0.65
     bum
    -0.65
    POSITIVE LOGITS
    urable
    1.02
    proven
    0.94
    accessible
    0.93
     sustainable
    0.90
    orthy
    0.88
     achievable
    0.87
    ivable
    0.86
    competitive
    0.85
    able
    0.84
    erning
    0.84
    Activations Density 0.406%

    No Known Activations