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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. 10-RES-JB
    11. 5285
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    INDEX
    Explanations

    instructions or recommendations for preventing particular issues such as moisture or injuries

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to safety precautions and prevention measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.79
    ruary
    -0.77
    cknow
    -0.76
     Dign
    -0.70
    utics
    -0.70
    Option
    -0.69
    onomy
    -0.69
    DEM
    -0.69
     Remastered
    -0.68
    united
    -0.68
    POSITIVE LOGITS
     moisture
    1.59
     stains
    1.41
     contaminants
    1.39
     toxins
    1.34
     corrosion
    1.34
     contamination
    1.27
     irritation
    1.27
     pests
    1.27
     buildup
    1.27
     bacteria
    1.24
    Activations Density 0.360%

    No Known Activations