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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. 14201
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    Explanations

    the abbreviation "lol" used in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of laughter or humor expressed through "lol" and similar terms

    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
    rament
    -0.78
    States
    -0.78
     contracted
    -0.75
    Topics
    -0.72
    maid
    -0.70
     Presbyter
    -0.68
    ":["
    -0.67
     Plaint
    -0.67
     glim
    -0.66
    Govern
    -0.66
    POSITIVE LOGITS
    ipop
    1.22
    ita
    1.08
    cats
    0.96
    cow
    0.93
    ogie
    0.81
    ibaba
    0.79
    creen
    0.74
    hattan
    0.73
    ibrary
    0.73
    ogan
    0.73
    Activations Density 0.018%

    No Known Activations