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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10951
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    INDEX
    Explanations

    instances of the word "a" followed by an adjective of various intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain the article "a" or "an," indicating a focus on articles in sentence structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Contents
    -0.82
    Links
    -0.77
    aura
    -0.71
    alties
    -0.70
    insk
    -0.69
    ells
    -0.69
    redits
    -0.68
    upon
    -0.67
    Events
    -0.66
    isodes
    -0.66
    POSITIVE LOGITS
     bunch
    1.05
     stranger
    1.01
     single
    0.97
     politician
    0.91
     mere
    0.88
     competent
    0.87
     woman
    0.87
     reputable
    0.87
     civilized
    0.86
     superpower
    0.86
    Activations Density 0.434%

    No Known Activations