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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. 6-RES-JB
    11. 17879
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    Explanations

    phrases related to time duration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to duration and lifespan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riad
    -0.99
    anooga
    -0.91
    unin
    -0.90
    artisan
    -0.86
    ramid
    -0.85
    tical
    -0.79
    bold
    -0.75
    ij士
    -0.73
    habi
    -0.72
    kie
    -0.72
    POSITIVE LOGITS
     periods
    1.10
     duration
    1.03
     elapsed
    1.00
    duration
    0.99
    interrupted
    0.94
    Duration
    0.93
    frames
    0.93
     leng
    0.92
     expires
    0.92
     lapse
    0.91
    Activations Density 0.084%

    No Known Activations