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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. 9-RES-JB
    11. 13940
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    Explanations

    numbers and symbols in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    metrics and statistics related to sports and other numerical data

    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
     UNCLASSIFIED
    -0.48
     sovere
    -0.46
     toile
    -0.45
     exha
    -0.45
     sugg
    -0.45
     cryst
    -0.44
    etheless
    -0.43
     encour
    -0.42
     cumbers
    -0.42
     intrins
    -0.42
    POSITIVE LOGITS
    âĢİ
    0.46
     âĢº
    0.45
     ·
    0.45
    INGTON
    0.43
    ONDON
    0.43
     Newly
    0.43
    ategor
    0.42
     Published
    0.42
    Scroll
    0.41
    Welcome
    0.41
    Activations Density 2.763%

    No Known Activations