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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. 1075
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    Explanations

    the preposition "in" followed by various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    /$
    -0.63
     EVEN
    -0.60
     Nights
    -0.60
    FORE
    -0.57
    enaries
    -0.57
    abouts
    -0.56
     ineligible
    -0.56
    roxy
    -0.56
     Shell
    -0.54
    idays
    -0.54
    POSITIVE LOGITS
    egal
    1.07
    offensive
    1.04
     tune
    1.00
    ured
    0.97
     line
    0.96
     unison
    0.94
    clusive
    0.91
    ane
    0.89
    effect
    0.89
     harmony
    0.88
    Activations Density 0.093%

    No Known Activations