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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. 2-RES-JB
    6. 13152
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    Explanations

    technical terms related to science or specific locations mentioned without proper context

    oai_token-act-pair · gpt-3.5-turbo

    symbols and specialized notations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagen
    -0.93
    uster
    -0.92
    nut
    -0.89
    iqueness
    -0.88
    nuts
    -0.86
    gow
    -0.86
    gren
    -0.86
    wcs
    -0.84
    stro
    -0.82
    matic
    -0.82
    POSITIVE LOGITS
    âĶĢâĶĢ
    0.94
    âĨĴ
    0.90
     âĨĴ
    0.87
    ãĥĺ
    0.87
    âĶĢâĶĢâĶĢâĶĢ
    0.86
    ··
    0.82
     âĪ
    0.81
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.80
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.78
    âĨij
    0.77
    Activations Density 0.005%

    No Known Activations