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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. 3525
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the uncovering of new information or insights

    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
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    No Comments

    Negative Logits
    cknow
    -0.70
     submit
    -0.59
     succeed
    -0.59
     livest
    -0.58
    ©¶æ
    -0.57
     Agric
    -0.56
    éĥ
    -0.55
     Passion
    -0.55
    ĪĴ
    -0.53
     meantime
    -0.53
    POSITIVE LOGITS
    izons
    0.72
    undrum
    0.71
     exponentially
    0.66
    Reviewer
    0.63
     insight
    0.63
     inhib
    0.63
    why
    0.62
    incent
    0.62
    edge
    0.61
     credibility
    0.61
    Activations Density 0.492%

    No Known Activations