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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. 9-RES-JB
    11. 18233
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     parks
    -0.68
     cradle
    -0.68
     drive
    -0.66
     purse
    -0.65
     crunch
    -0.65
     wave
    -0.63
     activated
    -0.63
     shutting
    -0.62
     acute
    -0.60
     beating
    -0.60
    POSITIVE LOGITS
     Please
    1.59
     Therefore
    1.37
     PLEASE
    1.30
     However
    1.28
     Additionally
    1.27
     Otherwise
    1.23
     Accordingly
    1.22
     Feel
    1.21
     Regardless
    1.21
     Unless
    1.19
    Activations Density 0.323%

    No Known Activations