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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8662
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    INDEX
    Explanations

    mentions of physical injuries or risk of harm

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zees
    -0.84
    zee
    -0.83
    tz
    -0.78
    zsche
    -0.77
    arten
    -0.74
    estone
    -0.68
    ogle
    -0.68
    soDeliveryDate
    -0.67
    isse
    -0.67
    ramid
    -0.65
    POSITIVE LOGITS
     inflicted
    1.14
     incurred
    1.00
     sustained
    0.91
     inflic
    0.85
     suffered
    0.84
     injuries
    0.84
     Survivors
    0.80
    letal
    0.78
     injury
    0.76
     Injury
    0.73
    Activations Density 0.029%

    No Known Activations