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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. 2749
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    Explanations

    words at the end of sentences or fragments beginning with a letter followed by special characters such as ®, âĢ, or marks like ! which signal the end or emphasis of a sentence

    oai_token-act-pair · gpt-3.5-turbo

    segments of text that indicate specific numerical data or measured values

    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
    ittal
    -0.68
    ghai
    -0.66
    ipe
    -0.66
    ahan
    -0.62
    etsk
    -0.62
    emy
    -0.62
    agues
    -0.61
    oat
    -0.61
    ivable
    -0.61
    ighed
    -0.60
    POSITIVE LOGITS
     EDITION
    1.52
    WOR
    1.41
     STORY
    1.40
    MEN
    1.36
    SPEC
    1.35
    LET
    1.35
    THE
    1.35
    COM
    1.33
    YOU
    1.32
     VIDEOS
    1.31
    Activations Density 0.226%

    No Known Activations