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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. 9-RES-JB
    6. 4080
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    INDEX
    Explanations

    phrases indicating potential danger or vulnerability

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being at risk or in danger

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    elf
    -0.69
    ovy
    -0.66
    anche
    -0.64
    chet
    -0.63
    nice
    -0.62
    olon
    -0.60
    MX
    -0.60
    ILA
    -0.60
    tein
    -0.59
    çĦ
    -0.59
    POSITIVE LOGITS
     financially
    0.91
     endanger
    0.83
    angering
    0.78
    istar
    0.73
    ħĭ
    0.72
     undermin
    0.71
     lest
    0.71
     posed
    0.70
     mentally
    0.69
    alert
    0.67
    Activations Density 0.050%

    No Known Activations