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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. 1-RES-JB
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    Explanations

    adjectives related to degree or amount, specifically focusing on the concept of 'slight'

    oai_token-act-pair · gpt-3.5-turbo

    the term "slight" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.84
    clamation
    -0.71
     drilled
    -0.71
    isner
    -0.70
    ceans
    -0.65
    raged
    -0.65
    olan
    -0.64
     convened
    -0.63
     Hurricanes
    -0.63
    ravings
    -0.63
    POSITIVE LOGITS
     slight
    1.08
     tweaks
    0.83
     variance
    0.82
     earthqu
    0.80
     strokes
    0.79
     tweak
    0.78
     sway
    0.77
     hesitation
    0.75
     deviations
    0.75
    nesses
    0.74
    Activations Density 0.004%

    No Known Activations