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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. 3-RES-JB
    11. 15653
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    INDEX
    Explanations

    keywords related to companies, such as abbreviations like "AG"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific companies or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phrine
    -0.75
    lihood
    -0.71
    href
    -0.70
    dates
    -0.69
     Adin
    -0.67
    stery
    -0.67
     Seas
    -0.66
    \\\\
    -0.65
     sight
    -0.64
    stic
    -0.64
    POSITIVE LOGITS
    reement
    1.00
    ENCY
    0.99
    REE
    0.95
    reements
    0.93
    rowth
    0.87
    VERTISEMENT
    0.86
    dinand
    0.85
    GR
    0.84
    ENC
    0.83
    rave
    0.82
    Activations Density 0.002%

    No Known Activations