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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. 6-RES-JB
    11. 3581
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    Explanations

    proper nouns and names, specifically focusing on those related to politics, influence, and power

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to specific individuals or groups, particularly in complex or negative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.71
    opers
    -0.58
    ograp
    -0.58
    ppers
    -0.58
    ikh
    -0.58
     gears
    -0.57
    ngth
    -0.57
    oshenko
    -0.57
    ppa
    -0.56
     suppose
    -0.55
    POSITIVE LOGITS
    uary
    0.75
    ÃĽ
    0.74
    heid
    0.72
    afia
    0.70
    ILA
    0.70
    eki
    0.69
    uration
    0.69
    SourceFile
    0.68
    dash
    0.67
    lie
    0.65
    Activations Density 0.058%

    No Known Activations