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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. 6-RES-JB
    11. 14814
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    Explanations

    dates represented in a specific format, likely related to an event or schedule

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific special character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urn
    -0.73
    sect
    -0.70
     bending
    -0.69
    apps
    -0.67
    rod
    -0.66
    puff
    -0.66
     insect
    -0.66
    pell
    -0.66
    iosis
    -0.64
    emin
    -0.63
    POSITIVE LOGITS
     RTX
    0.79
    âĢ¢âĢ¢
    0.77
     Vulkan
    0.73
     Introduction
    0.73
     Jere
    0.72
     Announce
    0.71
    ––
    0.70
    iversary
    0.68
    ĸļ
    0.68
    agements
    0.67
    Activations Density 0.048%

    No Known Activations