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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. 14378
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    INDEX
    Explanations

    keywords related to comparisons involving time

    oai_token-act-pair · gpt-3.5-turbo

    references to consistency and repetition in various situations

    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
    *=-
    -0.65
    live
    -0.62
    arest
    -0.61
     Recomm
    -0.59
     Bei
    -0.58
    aire
    -0.58
    EXP
    -0.58
     Hawai
    -0.58
    atown
    -0.58
    AFTA
    -0.58
    POSITIVE LOGITS
     vein
    0.93
     thing
    0.87
     exact
    0.81
     amount
    0.73
    rity
    0.72
     playbook
    0.72
     reason
    0.69
     ol
    0.68
     kind
    0.68
    worldly
    0.67
    Activations Density 0.045%

    No Known Activations