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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. 4-RES-JB
    11. 7327
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    INDEX
    Explanations

    information related to accidents or disasters, specifically focusing on details of crashes

    oai_token-act-pair · gpt-3.5-turbo

    references to vehicle crashes

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

    No Comments

    Negative Logits
    achu
    -0.69
    icrobial
    -0.68
    Ĭ±
    -0.65
    ...]
    -0.63
    iries
    -0.62
    THER
    -0.61
    arov
    -0.61
    yi
    -0.61
    rolog
    -0.60
    erity
    -0.59
    POSITIVE LOGITS
    worthiness
    0.95
     crash
    0.94
     crashes
    0.94
    ulent
    0.88
    Crash
    0.84
    ulence
    0.81
     wreck
    0.81
     Dive
    0.77
     Crash
    0.73
    olean
    0.73
    Activations Density 0.012%

    No Known Activations