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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. 7-RES-JB
    11. 3879
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    phrases related to personal beliefs, upbringing, and values

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal development and philosophical beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    JM
    -0.58
    Eva
    -0.56
     redes
    -0.55
    itton
    -0.53
    WIND
    -0.53
     assorted
    -0.52
    rather
    -0.51
     largeDownload
    -0.51
     respectively
    -0.50
    almost
    -0.50
    POSITIVE LOGITS
     anymore
    1.85
     nor
    1.74
     anything
    1.12
     necessarily
    1.08
     any
    1.08
    yet
    1.00
     anywhere
    0.97
     slightest
    0.97
     whatsoever
    0.96
     anybody
    0.93
    Activations Density 1.480%

    No Known Activations