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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. 9335
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    INDEX
    Explanations

    dates and events in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their frequency in the text

    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
    yip
    -0.98
    reci
    -0.82
     pict
    -0.75
    ogly
    -0.69
     excel
    -0.67
     charms
    -0.66
    omorphic
    -0.65
    natureconservancy
    -0.65
     thrill
    -0.65
     carniv
    -0.65
    POSITIVE LOGITS
     Eventually
    1.34
     Afterwards
    1.28
     Shortly
    1.27
     Soon
    1.26
     Later
    1.19
     Months
    1.19
     Now
    1.18
     Ultimately
    1.17
    Shortly
    1.11
     Nonetheless
    1.11
    Activations Density 0.492%

    No Known Activations