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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. 9-RES-JB
    6. 12503
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    Explanations

    tense words often used in reviews, such as "it is", "could be", "should work"

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges and complexities in processes or situations

    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
     Facts
    -0.71
    hovah
    -0.67
    ylum
    -0.67
     socialist
    -0.63
     Communist
    -0.62
     Rodham
    -0.61
     Government
    -0.59
     Nazi
    -0.59
     Socialist
    -0.59
    igion
    -0.59
    POSITIVE LOGITS
     noticeably
    0.86
     offset
    0.85
     noticeable
    0.82
     smoother
    0.81
     slower
    0.81
     offsets
    0.79
     compensate
    0.77
     downgrade
    0.75
     optimizations
    0.75
     tweaks
    0.75
    Activations Density 1.007%

    No Known Activations