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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. 5930
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    Explanations

    phrases related to time duration and processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the duration and timelines of processes

    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
     Flavoring
    -0.71
     rejoice
    -0.67
    ildo
    -0.65
    ãĥĬ
    -0.64
     candy
    -0.63
     kindred
    -0.61
     Flying
    -0.61
     Winged
    -0.60
     socks
    -0.60
    oft
    -0.60
    POSITIVE LOGITS
    months
    0.89
    soDeliveryDate
    0.83
    actionDate
    0.81
     timeframe
    0.81
    dayName
    0.79
     administr
    0.78
     months
    0.77
    Phase
    0.77
     negotiation
    0.76
    specified
    0.75
    Activations Density 0.340%

    No Known Activations