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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. 11-RES-JB
    11. 774
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    Explanations

    phrases related to brightness and light

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and artistic contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tu
    -0.83
     enthusi
    -0.76
    iosyn
    -0.73
    QUI
    -0.73
    toc
    -0.72
     targ
    -0.72
    ocrates
    -0.70
    atri
    -0.69
    rib
    -0.69
    urdue
    -0.67
    POSITIVE LOGITS
     Light
    2.17
     Dark
    2.01
    light
    2.00
     light
    2.00
    dark
    1.99
    Light
    1.98
    Dark
    1.97
     dark
    1.92
     DARK
    1.70
     lighter
    1.63
    Activations Density 0.181%

    No Known Activations