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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. 11-RES-JB
    6. 2584
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    Explanations

    citation references in academic writing

    oai_token-act-pair · gpt-3.5-turbo

    scientific references and citations related to research studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    inventoryQuantity
    -0.73
    ometimes
    -0.72
    aepernick
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    eatured
    -0.65
     hottest
    -0.63
    ulhu
    -0.62
    oaded
    -0.60
     descended
    -0.60
     ambassadors
    -0.58
     patriotic
    -0.58
    POSITIVE LOGITS
     et
    1.65
    meier
    1.06
     JM
    1.03
    owitz
    1.02
    baum
    1.00
    qv
    0.99
     JA
    0.99
    oglu
    0.97
    ova
    0.96
    aceae
    0.96
    Activations Density 0.171%

    No Known Activations