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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. 10-RES-JB
    6. 23898
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    INDEX
    Explanations

    phrases and names with varying structures and formats, potentially related to a specific category or context

    oai_token-act-pair · gpt-3.5-turbo

    various types of media titles and references, particularly those related to films or shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occas
    -0.80
     princ
    -0.79
     elbows
    -0.70
     prosec
    -0.70
     enthusi
    -0.70
     trusting
    -0.67
    udeau
    -0.66
     linger
    -0.66
    aturdays
    -0.66
     blogging
    -0.65
    POSITIVE LOGITS
    Contents
    1.48
    Synopsis
    1.19
    Overview
    1.13
    Appearances
    1.05
    Description
    0.97
    Background
    0.94
    edit
    0.90
    Introduction
    0.90
    rawdownloadcloneembedreportprint
    0.90
    Bi
    0.88
    Activations Density 0.082%

    No Known Activations