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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. 13239
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    Explanations

    mentions of medical conditions, procedures, or pharmaceuticals

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to end users and their interactions with services or products

    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
    ongyang
    -0.72
    ilver
    -0.70
     Ans
    -0.67
    itsch
    -0.67
    ï¸ı
    -0.66
    pload
    -0.65
    ombat
    -0.65
     anecd
    -0.64
     autos
    -0.63
     obser
    -0.62
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.74
    enment
    0.74
    ciating
    0.68
    itures
    0.67
    ctive
    0.67
    ruction
    0.65
     civilisation
    0.64
     cliff
    0.62
    itory
    0.61
     Sole
    0.61
    Activations Density 0.102%

    No Known Activations