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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. 21259
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    Explanations

    phrases related to everyday activities

    oai_token-act-pair · gpt-3.5-turbo

    sentences with definitive statements or conclusions

    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
     satell
    -1.03
     millenn
    -0.88
     comprehens
    -0.87
    ¥ŀ
    -0.87
     phenomen
    -0.87
     tremend
    -0.85
     precip
    -0.83
     recogn
    -0.83
     ignited
    -0.82
     explosive
    -0.82
    POSITIVE LOGITS
     Occasionally
    1.72
     Sometimes
    1.67
     Usually
    1.47
    Sometimes
    1.41
     Often
    1.37
     Whenever
    1.36
    Usually
    1.19
     Typically
    1.16
     Every
    1.15
     Especially
    1.12
    Activations Density 0.475%

    No Known Activations