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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. 1916
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    INDEX
    Explanations

    keywords related to chemical elements and compounds, particularly focusing on fluorine and mercury

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to fluoride and its health implications

    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
     guiActiveUnfocused
    -0.80
     Redemption
    -0.77
     Worlds
    -0.77
    Book
    -0.76
     Scholar
    -0.76
    Rules
    -0.76
     Colleges
    -0.73
    aign
    -0.73
    ãģ®éŃĶ
    -0.72
    Mobile
    -0.71
    POSITIVE LOGITS
     fluor
    1.28
    orescent
    1.04
     fluoride
    1.02
     iodine
    0.90
     iod
    0.90
    idation
    0.89
    ftime
    0.88
    ibble
    0.88
    yip
    0.87
    ategory
    0.86
    Activations Density 0.013%

    No Known Activations