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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. 2208
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    Explanations

    dates and chronological events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significant events or turning points in a narrative

    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
     equival
    -0.78
     synerg
    -0.76
     corresponding
    -0.74
     outputs
    -0.74
     assimil
    -0.70
     emission
    -0.70
     engage
    -0.68
     intermediate
    -0.67
     equip
    -0.67
     synergy
    -0.66
    POSITIVE LOGITS
    Advertisement
    1.00
    Scroll
    0.99
    Torrent
    0.96
    SHARE
    0.92
    UPDATE
    0.92
    Still
    0.91
    Now
    0.91
    Today
    0.91
    Story
    0.91
    Until
    0.90
    Activations Density 0.909%

    No Known Activations