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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. 3500
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    INDEX
    Explanations

    computer code references or prompts for user inputs

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters or symbols, particularly those related to formatting or programming

    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
    wagon
    -0.88
    ciating
    -0.82
    stone
    -0.82
    rian
    -0.80
    ians
    -0.79
    icult
    -0.79
    oos
    -0.78
    lectic
    -0.78
    ular
    -0.77
    iac
    -0.76
    POSITIVE LOGITS
     Drac
    0.78
     Dresden
    0.75
     Laugh
    0.68
     Higher
    0.67
    hler
    0.67
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    0.65
    ongyang
    0.64
     Baltic
    0.64
    sembly
    0.63
     Wem
    0.63
    Activations Density 0.033%

    No Known Activations