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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. 15231
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    Explanations

    unwanted or contentious mentions, potentially involving political and legal matters

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant events or emergencies

    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
    ij士
    -0.76
    ½
    -0.70
    ichick
    -0.68
    ²
    -0.67
    rer
    -0.67
    ķ
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.66
    Ĥ
    -0.65
    ãĤ±
    -0.64
    _.
    -0.64
    POSITIVE LOGITS
    Scientists
    0.79
    Britain
    0.73
     Britain
    0.69
    BBC
    0.69
    ccording
    0.69
    Researchers
    0.68
    Sorry
    0.68
    Analysis
    0.68
     labour
    0.67
     IMAGES
    0.67
    Activations Density 0.044%

    No Known Activations