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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. 14120
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    Explanations

    commands or instructions prompting the reader to do something

    oai_token-act-pair · gpt-3.5-turbo

    direct instructions or prompts for action

    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
    rosse
    -0.70
    kered
    -0.61
    inese
    -0.57
    keyes
    -0.57
    vre
    -0.57
     irreversible
    -0.56
     Frie
    -0.55
    olicy
    -0.55
     stride
    -0.55
    printf
    -0.54
    POSITIVE LOGITS
     Yourself
    0.98
     yourself
    0.87
     yourselves
    0.86
     Them
    0.86
    ingly
    0.82
    away
    0.80
    aways
    0.79
    Me
    0.79
    amaz
    0.74
    Us
    0.73
    Activations Density 0.105%

    No Known Activations