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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. 11-RES-JB
    6. 20027
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    Explanations

    keywords related to specific projects or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to projects, entities, and systems in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    yond
    -0.90
    theless
    -0.87
    anton
    -0.83
     pse
    -0.82
    nos
    -0.80
    utf
    -0.79
     livest
    -0.78
    angible
    -0.77
     acad
    -0.77
     skelet
    -0.75
    POSITIVE LOGITS
     Appeal
    1.24
     Program
    1.22
     Module
    1.21
     Pool
    1.20
     Campaign
    1.18
     Programme
    1.18
     Practice
    1.17
     Project
    1.17
     System
    1.17
     Movement
    1.17
    Activations Density 0.209%

    No Known Activations