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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. 3172
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    Explanations

    personal care product items and medical terms

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to various categories and contexts, such as toiletries, medical terminology, political terms, and legality

    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
    ernels
    -0.72
    assies
    -0.67
    sites
    -0.66
     Rooms
    -0.63
    eworks
    -0.62
     Machines
    -0.61
    rooms
    -0.61
     Vaugh
    -0.61
    events
    -0.60
    places
    -0.57
    POSITIVE LOGITS
     standpoint
    0.71
     perspective
    0.62
     apology
    0.61
     spokesperson
    0.59
     statement
    0.58
     variant
    0.55
     diagnosis
    0.55
     illustration
    0.53
     piece
    0.53
     degree
    0.53
    Activations Density 1.079%

    No Known Activations