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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. 10-RES-JB
    11. 1047
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    Explanations

    references to the video game "Super Mario"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Super Bowl" or related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gow
    -0.77
     unborn
    -0.73
    76561
    -0.70
     guiActiveUn
    -0.68
    OPLE
    -0.67
     acknow
    -0.66
     admission
    -0.63
    edIn
    -0.63
     clipboard
    -0.63
     behold
    -0.62
    POSITIVE LOGITS
    natural
    1.32
    visors
    1.30
    visor
    1.25
    nova
    1.23
    bowl
    1.23
    markets
    1.22
    visory
    1.17
    vised
    1.16
    marine
    1.15
    imposed
    1.15
    Activations Density 0.018%

    No Known Activations