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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
    11. 2793
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    Explanations

    proper names and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of places and people

    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
    IED
    -0.77
    Trend
    -0.70
     Humanity
    -0.64
    hang
    -0.63
    names
    -0.63
     Abandon
    -0.62
    Aut
    -0.62
    tein
    -0.62
    fund
    -0.62
    Interstitial
    -0.61
    POSITIVE LOGITS
    eda
    1.27
    quez
    0.83
    usa
    0.82
    ibo
    0.80
    ffe
    0.79
    ushi
    0.76
    ascus
    0.76
    edia
    0.76
    ãĤ´ãĥ³
    0.74
    udi
    0.74
    Activations Density 0.007%

    No Known Activations