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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. 9-RES-JB
    11. 17394
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    Explanations

    positive adjectives describing people

    oai_token-act-pair · gpt-3.5-turbo

    references to positive qualities and roles associated with people and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.64
    bsp
    -0.64
     omin
    -0.63
     hazardous
    -0.62
    agged
    -0.61
     guiActiveUn
    -0.61
    soDeliveryDate
    -0.61
    SPONSORED
    -0.60
     dreaded
    -0.60
     forbidden
    -0.59
    POSITIVE LOGITS
    smanship
    0.88
     luck
    0.87
     mate
    0.82
    manship
    0.81
     guy
    0.78
    bye
    0.77
    luck
    0.76
    guy
    0.75
     payoff
    0.75
     outweigh
    0.75
    Activations Density 0.414%

    No Known Activations