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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. 8-RES-JB
    11. 12975
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    Explanations

    phrases indicating the timing of events or announcements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating news or announcements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    anas
    -0.68
    guided
    -0.67
    ukong
    -0.66
    ilts
    -0.64
    runs
    -0.64
    icons
    -0.63
    itably
    -0.63
    olor
    -0.63
    olving
    -0.61
    Value
    -0.61
    POSITIVE LOGITS
     amidst
    0.94
     amid
    0.93
     undone
    0.89
     Forth
    0.77
    backs
    0.76
    lehem
    0.73
     testament
    0.73
     flanked
    0.70
     squarely
    0.69
     flush
    0.68
    Activations Density 0.046%

    No Known Activations