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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7646
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that convey a sense of finality or conclusion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     boarded
    -0.80
     embargo
    -0.75
     sponsor
    -0.72
     looted
    -0.72
    eteen
    -0.68
    ributes
    -0.68
     gunfire
    -0.67
     salute
    -0.67
     commemor
    -0.67
     planned
    -0.67
    POSITIVE LOGITS
     Conversely
    1.42
     Examples
    1.38
     Therefore
    1.34
     Alternatively
    1.31
     Ideally
    1.31
     Depending
    1.31
     Whereas
    1.30
     Additionally
    1.27
     Often
    1.27
     Likewise
    1.25
    Activations Density 0.868%

    No Known Activations