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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. 10-RES-JB
    6. 3635
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    Explanations

    references to items of value or worth, such as treasures, money, and valuables

    oai_token-act-pair · gpt-3.5-turbo

    references to value or valuation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pread
    -0.72
    OLOGY
    -0.72
    ELF
    -0.68
    omes
    -0.66
    steps
    -0.62
     Parties
    -0.58
     fracturing
    -0.58
    OLOG
    -0.58
    RAFT
    -0.56
    Ĭ±
    -0.54
    POSITIVE LOGITS
    uations
    1.33
    ueless
    1.31
    uable
    1.16
    uably
    1.16
    uation
    1.13
    uing
    1.06
    ibr
    1.06
    uating
    1.04
    entin
    1.03
    uated
    1.01
    Activations Density 0.015%

    No Known Activations