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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. 14304
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    Explanations

    proper nouns and specific terms like names of people, places, and products

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and titles related to people and places

    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
     Coffee
    -0.79
     Kub
    -0.75
     Summer
    -0.73
    alls
    -0.72
     Cook
    -0.71
    aly
    -0.70
    uke
    -0.70
     Aval
    -0.69
     Raven
    -0.67
    uay
    -0.67
    POSITIVE LOGITS
    spir
    0.92
    tr
    0.86
    iris
    0.81
    rir
    0.76
    enos
    0.76
     Sr
    0.76
    istant
    0.75
    xi
    0.74
    mr
    0.73
     gobl
    0.72
    Activations Density 0.371%

    No Known Activations