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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

    mentions or references related to the word "Molten"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals named "Mol" and "Kol."

    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
    ãģ§
    -0.89
    Rated
    -0.75
     Defenders
    -0.69
    uyomi
    -0.66
     Chosen
    -0.66
    ãģĮ
    -0.66
    print
    -0.65
    ãģķ
    -0.64
     CLS
    -0.64
    rival
    -0.64
    POSITIVE LOGITS
     Mol
    1.00
    ipop
    0.88
    mol
    0.88
    ograms
    0.82
    itary
    0.79
    oton
    0.77
    asma
    0.77
    ossus
    0.77
    utonium
    0.77
    ucci
    0.76
    Activations Density 0.009%

    No Known Activations