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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    various occurrences of the word "ipper" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    the term "Ripper," particularly in various contexts related to events or characters associated with it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¿½
    -0.76
    ³
    -0.75
    {"
    -0.70
     Siber
    -0.65
    ¶
    -0.61
    ween
    -0.61
    cn
    -0.60
    ADRA
    -0.59
     Geological
    -0.59
     neighboring
    -0.57
    POSITIVE LOGITS
    ipper
    1.21
    ographically
    0.85
    clips
    0.84
    ily
    0.83
    chief
    0.81
    iffe
    0.81
    osal
    0.81
    ipop
    0.80
    avascript
    0.79
    isine
    0.78
    Activations Density 0.010%

    No Known Activations