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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. 11-RES-JB
    11. 3817
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    INDEX
    Explanations

    phrases commonly used in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    common phrases or ideas that are frequently heard or repeated

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hod
    -0.66
    odan
    -0.60
    icz
    -0.58
     Minotaur
    -0.57
     provisional
    -0.57
    wings
    -0.54
    LEASE
    -0.54
    Delivery
    -0.54
    BuyableInstoreAndOnline
    -0.53
    patient
    -0.53
    POSITIVE LOGITS
     nowadays
    1.17
     whenever
    1.00
     interchange
    0.86
     throughout
    0.85
     everywhere
    0.85
     anecd
    0.84
     frequently
    0.81
     everyday
    0.81
    entimes
    0.79
     amongst
    0.78
    Activations Density 0.326%

    No Known Activations