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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. 8-RES-JB
    11. 24387
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    Explanations

    time-related durations expressed in hours, weeks, and minutes

    oai_token-act-pair · gpt-3.5-turbo

    durations of time expressed in weeks, hours, days, and minutes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illions
    -0.65
    urus
    -0.65
    untled
    -0.63
     akin
    -0.63
    natureconservancy
    -0.62
    BU
    -0.61
    BALL
    -0.60
    alus
    -0.59
    pher
    -0.59
    ENT
    -0.59
    POSITIVE LOGITS
     stint
    0.87
     hiatus
    0.84
     span
    0.84
     interval
    0.83
     turnaround
    0.82
     ordeal
    0.81
    iversary
    0.80
     delay
    0.79
     intervals
    0.79
     duration
    0.78
    Activations Density 0.062%

    No Known Activations