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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. 6-RES-JB
    6. 6316
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    Explanations

    phrases related to the sudden appearance or emergence of something

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "pop up" in various contexts

    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
    sung
    -0.71
    ��
    -0.70
    hematically
    -0.70
    BIT
    -0.70
    uth
    -0.68
    cknowled
    -0.67
    arine
    -0.65
    bit
    -0.65
     CLSID
    -0.63
    ftime
    -0.62
    POSITIVE LOGITS
     tents
    0.87
     banners
    0.86
    cycles
    0.83
     everywhere
    0.72
    Interstitial
    0.71
     toilets
    0.70
     spontaneously
    0.69
     stalls
    0.69
     Towns
    0.68
    riott
    0.67
    Activations Density 0.039%

    No Known Activations