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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. 14051
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    Explanations

    phrases related to the core or central importance of a topic or idea

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the foundational or central elements of arguments or concepts

    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
    dayName
    -0.70
     bye
    -0.67
     circumcised
    -0.63
     grate
    -0.62
    CIA
    -0.62
    estyles
    -0.61
    ositories
    -0.60
    osponsors
    -0.59
    apons
    -0.58
     Tsukuyomi
    -0.57
    POSITIVE LOGITS
     contention
    0.79
    mega
    0.64
     Huck
    0.64
     Anglo
    0.63
    successful
    0.62
    ":""},{"
    0.61
     Western
    0.60
     our
    0.59
    camp
    0.58
    stone
    0.58
    Activations Density 0.140%

    No Known Activations