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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. 6-RES-JB
    6. 19114
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    Explanations

    names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    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
    wcs
    -0.75
    lehem
    -0.66
    ħĭ
    -0.65
    ĵĺ
    -0.62
    externalActionCode
    -0.61
    olicy
    -0.59
    hovah
    -0.59
    lished
    -0.58
    rowth
    -0.58
    retty
    -0.58
    POSITIVE LOGITS
    uala
    0.66
     Canaver
    0.65
    tarian
    0.62
    jiang
    0.61
     Dragonbound
    0.60
    mia
    0.58
    eties
    0.58
    Lenin
    0.56
     Mn
    0.55
    clave
    0.54
    Activations Density 0.763%

    No Known Activations