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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. 5842
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    INDEX
    Explanations

    words with the prefix "re-" indicating repetition, resumption, or restoration

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "re-" prefix actions or processes

    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
     Phar
    -0.70
     negotiator
    -0.67
     Institution
    -0.67
     Sturgeon
    -0.63
    eteria
    -0.63
    INESS
    -0.62
    DragonMagazine
    -0.62
     Everywhere
    -0.61
     Tut
    -0.61
     GOODMAN
    -0.61
    POSITIVE LOGITS
    becca
    1.15
    clamation
    1.12
    authorized
    1.09
    ordered
    1.06
    charging
    1.06
    apers
    1.05
    integ
    1.03
    interpret
    1.03
    ordering
    1.03
    thinking
    1.00
    Activations Density 0.021%

    No Known Activations