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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. 6-RES-JB
    11. 1498
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    Explanations

    call-to-action phrases related to interaction with content

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to viewer engagement and expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.88
    é¾įåĸļ士
    -0.74
    iott
    -0.74
    quartered
    -0.73
    ioned
    -0.69
    âĸł
    -0.69
    soDeliveryDate
    -0.69
    ofi
    -0.69
    kefeller
    -0.68
    naire
    -0.67
    POSITIVE LOGITS
     bro
    0.72
     Subtle
    0.69
     Sierra
    0.66
     Explos
    0.64
     Spirits
    0.63
     Sawyer
    0.63
     Spoiler
    0.61
    ums
    0.60
     Quantity
    0.60
     Helpful
    0.59
    Activations Density 0.038%

    No Known Activations