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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. 7-RES-JB
    11. 17808
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    Explanations

    phrases related to time duration and length

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to duration and length of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    £ı
    -0.76
    rera
    -0.73
    artisan
    -0.72
    anooga
    -0.72
     Cosponsors
    -0.68
    imilar
    -0.68
    errilla
    -0.66
    rote
    -0.65
    osher
    -0.64
     flora
    -0.64
    POSITIVE LOGITS
     uninterrupted
    1.02
     longest
    0.91
     duration
    0.91
     periods
    0.85
     delay
    0.84
     elapsed
    0.84
    interrupted
    0.83
    duration
    0.82
     timeframe
    0.80
     stay
    0.78
    Activations Density 0.131%

    No Known Activations