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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. 10-RES-JB
    11. 8400
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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
    Not in Any Lists

    No Comments

    Negative Logits
    iliated
    -0.73
    userc
    -0.73
    izoph
    -0.71
     facult
    -0.71
     gobl
    -0.69
     thous
    -0.67
     disemb
    -0.67
     defe
    -0.65
     advis
    -0.65
     quickest
    -0.64
    POSITIVE LOGITS
     Nonetheless
    1.08
     Needless
    1.08
     Meanwhile
    1.07
     Nevertheless
    1.06
     Finally
    1.06
    SPONSORED
    1.05
     Fortunately
    1.04
     Ultimately
    1.04
     Additionally
    1.03
    ↵↵
    1.02
    Activations Density 0.544%

    No Known Activations