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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. 17667
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    Explanations

    numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring 'VER' or related word patterns

    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
    essler
    -0.59
    Downloadha
    -0.55
    Õ
    -0.54
    staking
    -0.54
    iewicz
    -0.53
     Chop
    -0.53
     cush
    -0.53
     manure
    -0.51
    :,
    -0.50
     Zup
    -0.50
    POSITIVE LOGITS
    ese
    0.61
    FORE
    0.56
    enment
    0.56
    antle
    0.55
     Revival
    0.53
     Advent
    0.51
    ebus
    0.51
    iasm
    0.51
    ribune
    0.51
    Pacific
    0.51
    Activations Density 0.232%

    No Known Activations