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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. 8-RES-JB
    11. 14292
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    Explanations

    references to the sports team "Patriots"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Patriots football team and its players

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    undai
    -0.81
    yrinth
    -0.76
    ouri
    -0.72
    efficient
    -0.71
     peas
    -0.71
    conservancy
    -0.70
    ĺħ
    -0.69
    orescence
    -0.69
    orescent
    -0.68
    lasses
    -0.67
    POSITIVE LOGITS
    ichick
    0.91
    icas
    0.85
     Belichick
    0.82
    ELY
    0.81
    riots
    0.79
    ica
    0.78
     Patriots
    0.73
    igham
    0.69
    icans
    0.69
    ality
    0.66
    Activations Density 0.058%

    No Known Activations