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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. 5275
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    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
     Woody
    -0.65
     Carlson
    -0.65
     Chuck
    -0.63
     Fletcher
    -0.63
     Hank
    -0.62
     Carson
    -0.62
     Pentagon
    -0.61
     NASCAR
    -0.61
     Philly
    -0.60
     Whitman
    -0.60
    POSITIVE LOGITS
    [/
    1.12
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    1.06
    âĢ
    1.04
    )</
    1.02
    </
    1.01
     âĶĤ
    1.00
    .","
    0.98
    ãĢį
    0.97
    .</
    0.97
     [/
    0.96
    Activations Density 1.206%

    No Known Activations