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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. 11-RES-JB
    11. 13816
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    Explanations

    information related to specific procedures or actions that are carried out on a case-by-case basis

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate decision-making processes based on specific criteria or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arks
    -0.70
     è
    -0.67
     ruining
    -0.66
     Invalid
    -0.63
     Wrong
    -0.62
     departed
    -0.62
    ðŁĺ
    -0.61
    crazy
    -0.61
    oft
    -0.61
     ðŁĺ
    -0.59
    POSITIVE LOGITS
     staggered
    1.08
     sequential
    0.98
     quotas
    0.89
     hourly
    0.89
     quarterly
    0.88
     proportional
    0.87
     individual
    0.85
     chronological
    0.85
     hierarchical
    0.84
     individually
    0.83
    Activations Density 0.361%

    No Known Activations