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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. 8-RES-JB
    11. 13027
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    Explanations

    words related to precision and accuracy in details or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accuracy and caution in decision-making

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bub
    -0.84
    orn
    -0.73
    lite
    -0.69
     Ended
    -0.69
    bek
    -0.66
    rafted
    -0.65
    uel
    -0.65
    quished
    -0.65
    ollah
    -0.64
    iston
    -0.64
    POSITIVE LOGITS
     awarding
    0.98
     calculating
    0.93
     regards
    0.92
     assigning
    0.92
     sourcing
    0.91
     determining
    0.91
     handling
    0.89
     selecting
    0.89
     regard
    0.87
     sizing
    0.86
    Activations Density 1.071%

    No Known Activations