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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. 9-RES-JB
    11. 5846
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    Explanations

    names or terms related to political figures or parties

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names or designations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¢ãĥ«
    -0.79
    ãĥĩãĤ£
    -0.75
     Lauder
    -0.73
    gage
    -0.71
    ãĤ®
    -0.65
    retty
    -0.63
    abet
    -0.62
    ãĤ¼ãĤ¦ãĤ¹
    -0.62
    ufact
    -0.61
    ngth
    -0.61
    POSITIVE LOGITS
    uit
    0.76
    spir
    0.74
    atron
    0.69
    eworthy
    0.68
    abus
    0.67
    uits
    0.63
    Ö¼
    0.63
    execute
    0.63
    Tip
    0.62
    atche
    0.62
    Activations Density 0.088%

    No Known Activations