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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. 11-RES-JB
    11. 11795
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    Explanations

    phrases related to different types of sports and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    activities related to sports and physical competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Mods
    -0.74
    ptoms
    -0.74
    Versions
    -0.74
     Innocent
    -0.73
    reve
    -0.72
     Updates
    -0.71
    names
    -0.71
     Patient
    -0.70
    rils
    -0.69
    Bloom
    -0.67
    POSITIVE LOGITS
     volleyball
    1.56
     tennis
    1.56
     rugby
    1.51
     basketball
    1.51
     golf
    1.45
     gymn
    1.39
     soccer
    1.39
     boxing
    1.38
     hockey
    1.36
     baseball
    1.36
    Activations Density 0.180%

    No Known Activations