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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. 3-RES-JB
    11. 24457
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    Explanations

    words related to accidents or negative events, especially those involving destruction or damage

    oai_token-act-pair · gpt-3.5-turbo

    references to disasters or destructive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abol
    -0.69
    ptive
    -0.69
    oult
    -0.68
     brim
    -0.67
    bledon
    -0.65
    THER
    -0.64
    RED
    -0.63
    ulton
    -0.62
     Kov
    -0.61
    cius
    -0.61
    POSITIVE LOGITS
    wreck
    1.10
     wreck
    0.94
    ing
    0.91
    dump
    0.89
     havoc
    0.87
    enberg
    0.87
    ernel
    0.84
    load
    0.79
    enburg
    0.78
    Crash
    0.77
    Activations Density 0.018%

    No Known Activations