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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. 12-RES-JB
    6. 17829
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    Explanations

    terms related to threats to safety and security, especially in the context of food safety and crime

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    topics related to public health and safety issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     undermin
    -0.59
     disadvant
    -0.55
     bragging
    -0.52
     destro
    -0.52
     territ
    -0.51
     glim
    -0.50
     Zucker
    -0.50
     sucker
    -0.50
     chip
    -0.49
     defe
    -0.48
    POSITIVE LOGITS
    issues
    0.84
    relations
    0.82
    education
    0.72
    ---
    0.71
    cars
    0.68
    formation
    0.68
    fecture
    0.66
    attacks
    0.66
    olitics
    0.64
    quit
    0.62
    Activations Density 0.023%

    No Known Activations