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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. 12-RES-JB
    11. 4358
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    Explanations

    company names and financial terms

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    names or references to individuals and organizations involved in financial or governmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     eleph
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     Antar
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     proport
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     destro
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     exting
    -0.75
     redes
    -0.74
    Þ
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     pione
    -0.72
     tiss
    -0.71
    POSITIVE LOGITS
    FP
    0.77
    OSP
    0.76
    SR
    0.75
    ITCH
    0.74
    GP
    0.73
    LCS
    0.73
    IC
    0.73
    OUP
    0.73
    ARP
    0.73
    OC
    0.73
    Activations Density 0.154%

    No Known Activations