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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. 8967
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    Explanations

    phrases related to making statements or expressing opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of certainty or assertions, particularly regarding historical events or their implications

    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
    yip
    -1.11
    erness
    -0.69
     hoops
    -0.69
     footing
    -0.67
     fetch
    -0.65
    oided
    -0.64
    rams
    -0.64
    earable
    -0.63
    athering
    -0.63
    ourcing
    -0.62
    POSITIVE LOGITS
     attest
    0.94
     firsthand
    0.88
     evident
    0.87
     tru
    0.85
    éĸ
    0.81
     evidenced
    0.80
     plainly
    0.79
     abundantly
    0.78
     demonstrated
    0.77
     proves
    0.75
    Activations Density 0.562%

    No Known Activations