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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. 12-RES-JB
    6. 4712
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    INDEX
    Explanations

    descriptions of architectural structures and locations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    specific historical or architectural landmarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confir
    -1.14
     mathemat
    -1.11
     warr
    -1.10
     tremend
    -1.05
     traged
    -1.04
     millenn
    -1.02
     satell
    -1.02
     reluct
    -1.00
     hamstring
    -1.00
     involuntary
    -0.97
    POSITIVE LOGITS
     Located
    1.70
    Located
    1.54
     Visitors
    1.50
     Built
    1.46
     Residents
    1.43
     Buildings
    1.37
     Rooms
    1.30
    Built
    1.26
     Inside
    1.23
    Residents
    1.22
    Activations Density 0.389%

    No Known Activations