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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. 6-RES-JB
    6. 951
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    INDEX
    Explanations

    phrases related to a specific term "ie" in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Internet Explorer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INESS
    -0.76
    orsi
    -0.72
    artney
    -0.67
    DERR
    -0.64
    elsius
    -0.63
    ities
    -0.62
     Karin
    -0.62
    ategory
    -0.61
    ivia
    -0.60
    ouring
    -0.60
    POSITIVE LOGITS
    lla
    1.01
    vre
    1.00
    ÃŁ
    0.99
    llo
    0.93
    utenant
    0.90
    getic
    0.86
    zel
    0.83
    hl
    0.80
    ppel
    0.78
    berman
    0.78
    Activations Density 0.028%

    No Known Activations