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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 18662
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Tam."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.76
    nesota
    -0.74
    essee
    -0.72
    dates
    -0.71
    ancial
    -0.71
    xiety
    -0.71
     mileage
    -0.70
     tremend
    -0.69
     anecd
    -0.68
    iquid
    -0.67
    POSITIVE LOGITS
    Tam
    1.40
    pering
    1.08
     Tam
    1.03
    pered
    1.01
     tam
    0.95
    eless
    0.93
    borgh
    0.85
    XT
    0.84
    pling
    0.82
    âĶĢ
    0.82
    Activations Density 0.007%

    No Known Activations