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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. 4-RES-JB
    11. 132
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    Explanations

    references to future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "future."

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

    No Comments

    Negative Logits
    lee
    -0.98
    alty
    -0.86
    alties
    -0.81
    cius
    -0.79
    inian
    -0.77
    ucket
    -0.77
    etts
    -0.75
    chy
    -0.75
    asp
    -0.74
    ideshow
    -0.72
    POSITIVE LOGITS
     generations
    1.18
     Generations
    0.91
     installments
    0.90
     iterations
    0.88
     scenarios
    0.86
     developments
    0.79
     generation
    0.78
     pregnancies
    0.78
     deployments
    0.75
     Outlook
    0.74
    Activations Density 0.021%

    No Known Activations