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

    texts containing the abbreviation "lol" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    the expression of laughter or amusement, particularly through variations of "lol" and "haha"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glim
    -0.82
    States
    -0.80
    ":["
    -0.76
    ãĤ©
    -0.71
    maid
    -0.71
    icipated
    -0.69
    éĹ
    -0.69
    rament
    -0.69
    ENTS
    -0.66
     contracted
    -0.65
    POSITIVE LOGITS
    ipop
    1.16
    ita
    1.01
    cats
    0.97
    cow
    0.95
    ipedia
    0.87
    ogie
    0.85
    hattan
    0.80
    creen
    0.78
    edia
    0.77
    ingo
    0.76
    Activations Density 0.013%

    No Known Activations