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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. 11550
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to additional content or resources

    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
    xtap
    -0.90
    pload
    -0.79
    nikov
    -0.77
    iman
    -0.76
    ãĥ¼ãĥĨ
    -0.73
    cture
    -0.71
    era
    -0.71
    imaru
    -0.70
    Guard
    -0.67
    itudinal
    -0.67
    POSITIVE LOGITS
     importantly
    1.39
     than
    1.05
     goodies
    0.96
     refined
    0.94
     sophisticated
    0.92
     efficient
    0.83
     stringent
    0.82
     exciting
    0.81
     advanced
    0.81
     adventurous
    0.78
    Activations Density 0.061%

    No Known Activations