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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 4750
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gon
    -0.91
     Neon
    -0.90
     Senegal
    -0.88
    anas
    -0.87
     Peck
    -0.87
     Xen
    -0.83
    EN
    -0.83
    Nap
    -0.81
     Jen
    -0.81
     Ezek
    -0.80
    POSITIVE LOGITS
     fisher
    0.90
     Fisher
    0.87
     Coff
    0.84
    cler
    0.80
     logger
    0.78
     saf
    0.77
     Lod
    0.76
    ali
    0.76
     Gear
    0.74
     Casual
    0.73
    Activations Density 0.450%

    No Known Activations