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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. 6-RES-JB
    6. 16438
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    INDEX
    Explanations

    proper nouns related to people, places, or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and brands

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.72
    OPLE
    -0.71
     charge
    -0.71
     separatist
    -0.70
    ħĭ
    -0.68
     retaliate
    -0.68
    etheless
    -0.67
    ãĥ¼ãĥĨ
    -0.67
     depreciation
    -0.66
     grievance
    -0.65
    POSITIVE LOGITS
    ona
    1.06
    isha
    0.94
    oya
    0.93
    amo
    0.90
    ado
    0.90
    leys
    0.90
    ley
    0.89
    inda
    0.88
    onda
    0.87
    udos
    0.87
    Activations Density 0.467%

    No Known Activations