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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. 4313
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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
    erenn
    -0.63
    tnc
    -0.59
    edu
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    代
    -0.57
    ¢
    -0.56
    ADA
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    oire
    -0.55
    pet
    -0.55
    oufl
    -0.54
    abre
    -0.53
    POSITIVE LOGITS
     alas
    1.08
     nevertheless
    0.94
     secondly
    0.93
     nonetheless
    0.91
     unfortunately
    0.90
     luckily
    0.90
     beware
    0.90
     fortunately
    0.88
    tons
    0.84
     interestingly
    0.82
    Activations Density 0.178%

    No Known Activations