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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. 1-RES-JB
    11. 2681
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    Explanations

    references to dangerous or life-threatening situations or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to deadly situations or threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arity
    -0.84
    erous
    -0.76
    ership
    -0.74
    agate
    -0.74
    arta
    -0.73
    ourced
    -0.73
    via
    -0.73
    estamp
    -0.72
    sama
    -0.71
     Store
    -0.71
    POSITIVE LOGITS
     deadly
    1.20
     lethal
    1.05
     poisonous
    1.01
     earthqu
    0.99
     fatal
    0.93
     endanger
    0.88
     assassins
    0.82
     exting
    0.82
     mosqu
    0.82
     hazards
    0.81
    Activations Density 0.008%

    No Known Activations