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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. 7027
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    Explanations

    phrases related to motivating physical activity and health

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to health and fitness issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ""
    -0.95
    ³³³³
    -0.89
    )",
    -0.82
    «
    -0.82
     Secondly
    -0.81
    "(
    -0.79
    Secondly
    -0.78
    )"
    -0.78
    )</
    -0.78
     english
    -0.78
    POSITIVE LOGITS
     Goodell
    0.89
     Canaver
    0.87
     Millennials
    0.82
     policymakers
    0.79
     someday
    0.77
     progressives
    0.74
     Kaepernick
    0.72
     millennials
    0.70
     Gallup
    0.70
     undeniably
    0.70
    Activations Density 1.205%

    No Known Activations