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    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. 23628
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    Explanations

    expressions of gratitude for viewing content such as "Thanks for watching."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to viewer engagement and interaction

    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
    soDeliveryDate
    -0.85
    rencies
    -0.74
    inational
    -0.74
    wcs
    -0.73
    edIn
    -0.73
    paio
    -0.69
    akeru
    -0.67
    angular
    -0.66
    quartered
    -0.65
    uyomi
    -0.64
    POSITIVE LOGITS
     reader
    0.70
     Spoiler
    0.69
     Leah
    0.65
     Sierra
    0.64
     Sneak
    0.63
     Cly
    0.63
    !/
    0.61
    uo
    0.61
     Sawyer
    0.61
     Bust
    0.60
    Activations Density 0.070%

    No Known Activations