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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. 8-RES-JB
    6. 3780
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    INDEX
    Explanations

    numbers as well as sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    specific numeric and contextual references related to comic books or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     counselors
    -0.58
     baskets
    -0.57
     shooters
    -0.56
     medicines
    -0.55
     excess
    -0.54
     appliances
    -0.53
     forgetting
    -0.51
     pandemonium
    -0.51
     elsewhere
    -0.51
     interfering
    -0.51
    POSITIVE LOGITS
     Duration
    0.69
     IMAGES
    0.68
     Overview
    0.67
     [+
    0.63
     Location
    0.63
     Introduction
    0.63
    ometown
    0.62
     Age
    0.62
     Retrieved
    0.61
     Written
    0.61
    Activations Density 0.670%

    No Known Activations