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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. 6553
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    INDEX
    Explanations

    instances where someone or something is appearing in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "appear" and its variations, particularly in legal or media 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
    icz
    -0.76
    ··
    -0.69
     handled
    -0.67
     maintains
    -0.66
    hesda
    -0.66
    ystem
    -0.64
    ties
    -0.63
     prefers
    -0.62
     ensued
    -0.62
     accommod
    -0.62
    POSITIVE LOGITS
     advertisements
    0.92
     commercials
    0.86
     silhouette
    0.80
     screenshots
    0.79
     doorway
    0.79
     headlines
    0.78
    Picture
    0.77
     photographs
    0.76
     billboards
    0.74
     ads
    0.74
    Activations Density 0.216%

    No Known Activations