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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. 6-RES-JB
    11. 23802
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    Explanations

    numbers and numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical sequences or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     anticip
    -0.70
     emoji
    -0.65
     Dickinson
    -0.64
     moder
    -0.63
     Executive
    -0.63
     exhibit
    -0.62
     animation
    -0.61
     incorporated
    -0.60
     Arabian
    -0.60
     ID
    -0.60
    POSITIVE LOGITS
    interstitial
    0.98
    plus
    0.91
    Soviet
    0.91
    assisted
    0.91
    Pg
    0.91
    Jun
    0.90
    circ
    0.90
    Spain
    0.88
    class
    0.88
    gallery
    0.88
    Activations Density 0.084%

    No Known Activations