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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. 22585
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    Explanations

    texts related to safety measures and precautions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety precautions and measures

    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
    ettle
    -0.76
    peak
    -0.71
    versions
    -0.68
    zie
    -0.65
    lined
    -0.63
    pires
    -0.63
    hner
    -0.63
    choes
    -0.63
    ammy
    -0.62
    writ
    -0.61
    POSITIVE LOGITS
     precaution
    1.28
     precautions
    1.10
    autions
    1.08
    ary
    0.98
    azard
    0.91
    ously
    0.82
    ilitary
    0.79
    inventoryQuantity
    0.78
     safeguards
    0.77
    agall
    0.75
    Activations Density 0.010%

    No Known Activations