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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. 6-RES-JB
    11. 15255
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    Explanations

    keywords related to technical specifications and features, such as "storage," "camera," "microSD card slot," and "noise cancellation."

    oai_token-act-pair · gpt-3.5-turbo

    descriptions related to weather and environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.83
    ãģ®éŃĶ
    -0.76
    qqa
    -0.75
    ItemTracker
    -0.75
    ãĤ¶
    -0.74
    hess
    -0.74
    ãĥ´ãĤ¡
    -0.72
    ãģĨ
    -0.71
    ECA
    -0.70
    ãĥĪ
    -0.70
    POSITIVE LOGITS
     TBA
    0.84
    optional
    0.80
     optional
    0.79
     varies
    0.77
     includes
    0.77
     [-
    0.73
     Includes
    0.71
     tray
    0.69
     approx
    0.69
     included
    0.69
    Activations Density 0.678%

    No Known Activations