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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. 22647
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    Explanations

    the word "so" followed by a positive descriptor or intensity level

    oai_token-act-pair · gpt-3.5-turbo

    repetitive expressions of emphasis, particularly involving the word "so."

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ICA
    -0.68
    ISO
    -0.62
    nings
    -0.61
     ISO
    -0.60
     Nex
    -0.59
    smith
    -0.58
    ULTS
    -0.58
    halla
    -0.56
     Incarn
    -0.55
    craft
    -0.55
    POSITIVE LOGITS
     much
    1.03
    oooo
    0.99
     far
    0.94
    othes
    0.93
     badly
    0.91
    bered
    0.91
    apy
    0.88
     dearly
    0.87
    ooo
    0.86
    Much
    0.83
    Activations Density 0.083%

    No Known Activations