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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. 6-RES-JB
    11. 20297
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    Explanations

    dates written in different formats

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    opolis
    -0.68
    TABLE
    -0.63
     Peb
    -0.63
    IUM
    -0.63
    BILITIES
    -0.62
    1920
    -0.61
    CDC
    -0.59
    theless
    -0.59
    Sov
    -0.59
    utical
    -0.59
    POSITIVE LOGITS
    endment
    0.77
    imester
    0.77
    eve
    0.75
     onwards
    0.73
    姫
    0.64
    å°Ĩ
    0.64
    amic
    0.63
    tein
    0.63
     onward
    0.62
     earners
    0.62
    Activations Density 0.145%

    No Known Activations