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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. 3-RES-JB
    11. 12919
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    INDEX
    Explanations

    elements related to minerals and their quantities in food

    oai_token-act-pair · gpt-3.5-turbo

    nutritional minerals, particularly calcium, sodium, and magnesium

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.96
    Aust
    -0.88
    alez
    -0.77
    bern
    -0.76
    Īè
    -0.75
    terson
    -0.75
    atis
    -0.74
    ger
    -0.74
    opol
    -0.74
    neys
    -0.73
    POSITIVE LOGITS
     chloride
    1.28
     iod
    1.23
     sulf
    1.12
     phosphate
    1.10
     calcium
    1.07
     sulph
    1.06
     fluoride
    1.06
     ions
    1.05
     oxide
    1.03
     phosphorus
    0.97
    Activations Density 0.014%

    No Known Activations