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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. 7-RES-JB
    11. 9695
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    Explanations

    references to the sports team "Patriots"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    efficient
    -0.91
    undai
    -0.86
    lasses
    -0.78
    conservancy
    -0.78
    osta
    -0.75
    kell
    -0.73
     peas
    -0.72
    obal
    -0.71
    hot
    -0.70
    wrapper
    -0.70
    POSITIVE LOGITS
    riots
    0.81
    ica
    0.80
     Patriots
    0.79
    ELY
    0.78
     Prayer
    0.78
     Breaker
    0.76
     SEAL
    0.74
    ality
    0.73
    ECT
    0.69
    icas
    0.69
    Activations Density 0.036%

    No Known Activations