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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. 5-RES-JB
    6. 10146
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    INDEX
    Explanations

    years mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods, particularly years and months

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UTF
    -0.72
    BuyableInstoreAndOnline
    -0.71
     kindred
    -0.69
    SOURCE
    -0.63
    uns
    -0.62
    Condition
    -0.60
    leeve
    -0.59
    utf
    -0.59
     otherwise
    -0.58
    onne
    -0.57
    POSITIVE LOGITS
     however
    0.78
     meanwhile
    0.71
     Ago
    0.67
    np
    0.62
     æľ
    0.62
     though
    0.58
    cific
    0.57
    ĩ
    0.57
    adays
    0.56
    eve
    0.56
    Activations Density 0.131%

    No Known Activations