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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. 1-RES-JB
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    Explanations

    proper nouns related to politics and sports teams, particularly focusing on the names "Clintons" and "Clippers."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or teams, particularly the Clintons and the Clippers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mare
    -0.86
    alys
    -0.75
    planet
    -0.73
    elsen
    -0.71
    von
    -0.70
     Rider
    -0.69
    val
    -0.69
    judicial
    -0.68
    gradation
    -0.66
    ppo
    -0.65
    POSITIVE LOGITS
     Clintons
    1.16
    opher
    0.73
    INTON
    0.71
    ieve
    0.71
    icates
    0.70
    ////////
    0.69
    ileaks
    0.69
    iang
    0.69
    ä¹ĭ
    0.68
     Clippers
    0.68
    Activations Density 0.023%

    No Known Activations