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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. 11319
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    Explanations

    references to individuals, specifically those being acted upon or affected by some event or action

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts

    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
     Anyway
    -0.68
    strip
    -0.68
    ³³³³
    -0.65
     drying
    -0.65
    Ble
    -0.62
    requ
    -0.61
    ANC
    -0.60
     Delicious
    -0.60
    course
    -0.59
    quickShipAvailable
    -0.59
    POSITIVE LOGITS
     oversaw
    1.24
     oversees
    1.00
     preceded
    0.99
     presided
    0.94
     oversee
    0.93
     stormed
    0.92
     helped
    0.91
     spearheaded
    0.89
     risked
    0.87
    soever
    0.86
    Activations Density 0.124%

    No Known Activations