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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. 8-RES-JB
    11. 8291
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    Explanations

    proper nouns with the suffix "-endorf"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of endorsements or references to supporting individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ultras
    -0.84
     infringing
    -0.64
     Millennials
    -0.64
    soDeliveryDate
    -0.62
     hindsight
    -0.60
     prices
    -0.60
     nucleus
    -0.60
     clubhouse
    -0.60
     provisional
    -0.58
     millennials
    -0.58
    POSITIVE LOGITS
    eger
    1.12
    berger
    1.12
    velt
    1.11
    orst
    1.10
    beck
    1.07
    midt
    1.07
    baugh
    1.04
    stadt
    1.04
    meyer
    1.03
    eker
    1.03
    Activations Density 0.266%

    No Known Activations