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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. 7856
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    Explanations

    text related to transparency or visibility, particularly using phrases containing "see-through" or "know-how"

    oai_token-act-pair · gpt-3.5-turbo

    suffixes and elements related to knowledge or expertise

    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
    ozo
    -0.77
    anchester
    -0.73
    iflower
    -0.72
    ccoli
    -0.70
    bably
    -0.70
    olicy
    -0.70
    odcast
    -0.70
    ulture
    -0.69
    emetery
    -0.69
    udeau
    -0.67
    POSITIVE LOGITS
    ById
    0.79
    andum
    0.79
    opol
    0.71
    gat
    0.70
    marks
    0.68
     Duty
    0.67
    vale
    0.66
    BIL
    0.65
    Quality
    0.63
    SEE
    0.63
    Activations Density 0.340%

    No Known Activations