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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. 7-RES-JB
    11. 15358
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    information related to safety concerns and warnings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health, safety, and food-related concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cember
    -0.77
    lance
    -0.64
    bernatorial
    -0.64
    {\
    -0.64
    ÃĥÃĤ
    -0.63
     marvelous
    -0.63
    bilt
    -0.61
    theless
    -0.61
     ---------
    -0.60
    ourning
    -0.60
    POSITIVE LOGITS
     predators
    0.67
     extremists
    0.67
     terrorists
    0.66
     lawmakers
    0.66
     watchdog
    0.65
     taxpayer
    0.64
     unfairly
    0.64
     tactics
    0.63
     potentially
    0.63
     vulnerabilities
    0.63
    Activations Density 1.667%

    No Known Activations