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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. 9-RES-JB
    11. 14235
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    Explanations

    moments in time or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "just" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <-
    -0.61
     quo
    -0.60
    Ultra
    -0.58
     seiz
    -0.57
     Prelude
    -0.55
     privile
    -0.54
    itivity
    -0.52
    abal
    -0.52
     bottleneck
    -0.51
    umably
    -0.51
    POSITIVE LOGITS
     weeks
    0.87
    ifications
    0.86
    iciary
    0.86
    ifiable
    0.85
     shy
    0.82
    if
    0.81
    itia
    0.81
    IFIED
    0.79
     days
    0.78
     kidding
    0.76
    Activations Density 0.070%

    No Known Activations