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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. 11-RES-JB
    11. 9933
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    Explanations

    dates or time periods, particularly from the mid-20th century onward

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades in the 20th century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     masc
    -0.62
     Rivals
    -0.60
     medi
    -0.56
    aukee
    -0.55
     param
    -0.52
     ingred
    -0.49
    Dial
    -0.49
    ItemImage
    -0.49
     thoughts
    -0.48
     naturally
    -0.48
    POSITIVE LOGITS
    s
    1.63
    âĢ²
    1.32
    's
    1.12
    ÃŃs
    1.05
    ies
    0.93
    ties
    0.91
    ixties
    0.89
    psons
    0.88
    enthal
    0.87
    ´
    0.85
    Activations Density 0.047%

    No Known Activations