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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13860
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    INDEX
    Explanations

    chemical compounds and reactions

    oai_token-act-pair · gpt-3.5-turbo

    chemical compounds and their associated elements or formulas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Privacy
    -0.81
    NEY
    -0.77
    borough
    -0.74
     Gould
    -0.70
    å£
    -0.70
     Warrant
    -0.70
     Torn
    -0.70
     Beir
    -0.68
     Overs
    -0.68
    ticket
    -0.68
    POSITIVE LOGITS
     oxide
    1.32
    oxide
    1.27
     phosphate
    1.26
     polymer
    1.13
     oxid
    1.12
     chloride
    1.10
    amide
    1.08
     sulf
    1.07
     fluoride
    1.06
     dioxide
    1.04
    Activations Density 0.202%

    No Known Activations