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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. 4903
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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
     Lau
    -0.61
     TIM
    -0.60
     RIS
    -0.60
    Naz
    -0.57
     nick
    -0.55
     SAF
    -0.54
    isu
    -0.53
    Champ
    -0.53
     Jiu
    -0.53
    CLOSE
    -0.52
    POSITIVE LOGITS
    etc
    0.98
    .;
    0.92
    .).
    0.92
     etc
    0.91
    .
    0.90
    eter
    0.89
    .?
    0.89
    .--
    0.88
    .,
    0.88
    .–
    0.87
    Activations Density 0.036%

    No Known Activations