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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. 7-RES-JB
    11. 11553
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    Explanations

    greetings and salutations in written text

    oai_token-act-pair · gpt-3.5-turbo

    engagement phrases and introductory greetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deterrent
    -0.77
    VERTISEMENT
    -0.71
    ible
    -0.70
    SPONSORED
    -0.69
    ibles
    -0.69
    ificantly
    -0.67
    tracks
    -0.63
     rhet
    -0.63
    versely
    -0.62
     Getty
    -0.61
    POSITIVE LOGITS
    Welcome
    0.94
    reetings
    0.89
    Congratulations
    0.84
     welcome
    0.84
    elcome
    0.83
     congratulations
    0.80
     hello
    0.78
    Hello
    0.76
     apologies
    0.74
     thank
    0.72
    Activations Density 0.474%

    No Known Activations