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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. 13379
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    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey significant conclusions or statements

    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
     fancy
    -0.85
     everywhere
    -0.82
     worsh
    -0.81
     nodd
    -0.80
     butcher
    -0.79
     handy
    -0.79
     wandering
    -0.78
     grip
    -0.78
     glim
    -0.77
     favourite
    -0.77
    POSITIVE LOGITS
     Additionally
    1.76
     Furthermore
    1.45
     Specifically
    1.43
     Accordingly
    1.41
     Approximately
    1.36
     Moreover
    1.30
     Therefore
    1.30
     However
    1.29
    Additionally
    1.28
     Consequently
    1.27
    Activations Density 0.491%

    No Known Activations