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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. 9-RES-JB
    11. 24239
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    INDEX
    Explanations

    phrases related to potential danger or adverse situations involving risk to life or safety

    oai_token-act-pair · gpt-3.5-turbo

    references to risk and life-threatening situations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Cosponsors
    -0.63
    utenberg
    -0.63
    zag
    -0.62
    galitarian
    -0.61
    lich
    -0.61
    ult
    -0.61
    olkien
    -0.61
    eret
    -0.60
    gomery
    -0.60
     Burton
    -0.60
    POSITIVE LOGITS
     livelihood
    1.38
     priceless
    1.18
     lives
    1.15
     integrity
    1.15
     belongings
    1.13
     sanity
    1.10
     liberties
    1.06
     precious
    1.05
     limb
    1.03
     dignity
    0.99
    Activations Density 1.248%

    No Known Activations