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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. 10-RES-JB
    11. 1295
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    Explanations

    references to recent events or developments

    oai_token-act-pair · gpt-3.5-turbo

    the word "recent" and its variations, indicating a focus on timeliness or current events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    then
    -0.88
     presently
    -0.85
    later
    -0.81
    requires
    -0.78
     eventually
    -0.74
     Exactly
    -0.74
    amina
    -0.74
     promptly
    -0.71
    bags
    -0.71
     someday
    -0.70
    POSITIVE LOGITS
     spate
    1.36
     additions
    1.13
     developments
    1.11
     uptick
    1.11
     arrivals
    1.09
     incarnation
    0.95
     revelations
    0.94
     arrival
    0.94
     events
    0.94
     influx
    0.92
    Activations Density 0.046%

    No Known Activations