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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16359
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    Explanations

    triggering events or incidents that lead to significant reactions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sparked" indicating significant events or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.76
    uters
    -0.66
    endi
    -0.66
     Neighbor
    -0.64
    ians
    -0.60
    ibble
    -0.60
    itte
    -0.60
     route
    -0.58
     wives
    -0.57
    iolet
    -0.54
    POSITIVE LOGITS
    TextColor
    0.92
    rings
    0.91
    actionDate
    0.89
     pandemonium
    0.79
    interstitial
    0.76
    rament
    0.75
     sparking
    0.75
     stir
    0.75
     anew
    0.73
     sparked
    0.73
    Activations Density 0.047%

    No Known Activations