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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 5201
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    INDEX
    Explanations

    dates represented in 'Month Day' format

    oai_token-act-pair · gpt-3.5-turbo

    dates, specifically the recurring mention of "Jun" followed by a numerical designation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.95
    Interstitial
    -0.76
     Panic
    -0.76
     Rift
    -0.73
    Ö¼
    -0.70
     Trials
    -0.70
    ebook
    -0.69
     Incarn
    -0.65
     Metatron
    -0.64
    atically
    -0.63
    POSITIVE LOGITS
     Jun
    1.22
    eteenth
    1.04
    Jun
    1.03
    iors
    1.00
    jun
    0.96
    ctions
    0.95
     Jul
    0.93
    pei
    0.92
    cture
    0.92
    iper
    0.90
    Activations Density 0.006%

    No Known Activations