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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. 23957
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    Explanations

    phrases related to upcoming time intervals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future timeframes

    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
    wright
    -0.76
    apego
    -0.73
    winning
    -0.70
    avorite
    -0.69
    paio
    -0.69
    ooters
    -0.69
    alach
    -0.67
    aughter
    -0.66
    olph
    -0.65
     Wrong
    -0.65
    POSITIVE LOGITS
     weeks
    1.41
     months
    1.30
     days
    1.23
     fortnight
    1.05
     years
    1.02
     hours
    1.02
     decade
    1.00
     millenn
    0.97
     week
    0.95
     decades
    0.95
    Activations Density 0.072%

    No Known Activations