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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. 1088
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    INDEX
    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to people and places within various contexts

    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
    20439
    -0.92
    anasia
    -0.88
    Netflix
    -0.84
    TPP
    -0.75
    atari
    -0.71
    Animation
    -0.71
    NSA
    -0.70
    iPhone
    -0.70
    USB
    -0.68
    andowski
    -0.67
    POSITIVE LOGITS
     town
    1.09
     eastern
    1.09
     southeastern
    1.06
     northern
    1.03
     northeastern
    1.03
     downtown
    1.02
     nearby
    1.02
     southern
    1.00
     southwestern
    0.99
     northwestern
    0.98
    Activations Density 0.526%

    No Known Activations