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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. 13144
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    Explanations

    phrases describing death or fatal injuries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to death and fatal incidents

    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
     Witcher
    -0.68
    yip
    -0.65
    andowski
    -0.64
    idth
    -0.64
     Topics
    -0.63
     Represent
    -0.62
     lately
    -0.62
     briefings
    -0.61
    icons
    -0.61
    dan
    -0.60
    POSITIVE LOGITS
     afterwards
    0.95
     afterward
    0.95
     instantly
    0.90
     promptly
    0.87
     accordingly
    0.85
     shortly
    0.84
     anyway
    0.84
     later
    0.83
     thereafter
    0.82
     anyways
    0.82
    Activations Density 0.489%

    No Known Activations