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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. 0-RES-JB
    11. 2746
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    Explanations

    scheduled events or appointments

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "scheduled."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arity
    -0.69
    bay
    -0.65
    lie
    -0.65
    hood
    -0.63
    holes
    -0.63
     alike
    -0.62
    bet
    -0.61
     imitation
    -0.61
    wings
    -0.60
     instinctively
    -0.60
    POSITIVE LOGITS
     scheduled
    3.55
     slated
    2.19
     planned
    2.00
     schedule
    1.72
     Sched
    1.59
     scheduling
    1.53
     postponed
    1.53
     booked
    1.47
     schedules
    1.41
     expected
    1.34
    Activations Density 0.012%

    No Known Activations