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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. 22390
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    INDEX
    Explanations

    mentions of different groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people

    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
    Not in Any Lists

    No Comments

    Negative Logits
    tains
    -0.88
    opens
    -0.71
    iHUD
    -0.70
    ¿½
    -0.68
    Increases
    -0.68
    manent
    -0.67
     Flavoring
    -0.67
    CONT
    -0.65
    forestation
    -0.63
     Prel
    -0.63
    POSITIVE LOGITS
     aren
    1.57
     deserve
    1.55
     ARE
    1.36
     weren
    1.33
     shouldn
    1.32
     are
    1.32
     despise
    1.30
     don
    1.29
     ain
    1.28
     suck
    1.28
    Activations Density 0.421%

    No Known Activations