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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. 4-RES-JB
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    Explanations

    instances of the acronym "LOL" with varying emphasis

    oai_token-act-pair · gpt-3.5-turbo

    expressions of laughter or amusement, particularly variations of "lol."

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

    No Comments

    Negative Logits
    rament
    -0.80
    ":["
    -0.76
     glim
    -0.73
    éĹ
    -0.73
     contracted
    -0.73
    Govern
    -0.71
    Topics
    -0.70
    States
    -0.69
    legates
    -0.68
     Aether
    -0.68
    POSITIVE LOGITS
    ipop
    1.21
    cats
    1.04
    cow
    1.03
    ita
    1.02
    ogie
    0.88
    zers
    0.81
    ofi
    0.76
    ibrary
    0.76
    hattan
    0.76
    eyes
    0.74
    Activations Density 0.010%

    No Known Activations