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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. 8-RES-JB
    11. 686
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    Explanations

    mentions of advertisements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ads"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.81
    bred
    -0.79
    lihood
    -0.79
    20439
    -0.73
    hement
    -0.72
     Cyprus
    -0.69
    Jr
    -0.67
    displayText
    -0.65
    prototype
    -0.65
     Carbuncle
    -0.65
    POSITIVE LOGITS
    vertising
    1.15
    verts
    1.04
    strip
    0.96
    vertisement
    0.95
    idas
    0.94
    orial
    0.92
     ads
    0.89
    vertis
    0.86
     hoard
    0.85
    elaide
    0.85
    Activations Density 0.038%

    No Known Activations