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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. 1-RES-JB
    11. 14001
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    Explanations

    event-related terms or words

    oai_token-act-pair · gpt-3.5-turbo

    references to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ķ
    -0.79
    iami
    -0.75
    unts
    -0.71
    aha
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    adle
    -0.68
    same
    -0.66
    ı
    -0.65
    ש
    -0.64
    ramid
    -0.64
    imble
    -0.64
    POSITIVE LOGITS
     Events
    1.40
     Event
    1.05
    Events
    0.91
     Calendar
    0.84
    Listener
    0.82
     Tickets
    0.81
    Event
    0.80
     Dates
    0.78
     Coordinator
    0.77
     Flav
    0.76
    Activations Density 0.008%

    No Known Activations