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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

    the word "fun"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fun" in various contexts

    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
     Centauri
    -0.66
    eded
    -0.66
     Transparency
    -0.66
    attle
    -0.63
     bottleneck
    -0.62
    yards
    -0.61
     broken
    -0.61
    ioxide
    -0.60
     shipments
    -0.60
     defic
    -0.58
    POSITIVE LOGITS
    nels
    1.25
    nell
    0.97
    gal
    0.97
    eral
    0.97
     fun
    0.92
    nel
    0.89
    ctor
    0.86
    ney
    0.81
    ctions
    0.81
    ilee
    0.80
    Activations Density 0.015%

    No Known Activations