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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. 7-RES-JB
    6. 18047
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    Explanations

    automotive-related terms

    oai_token-act-pair · gpt-3.5-turbo

    topics related to specific industries, particularly automotive, pharmaceutical, and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dialogue
    -0.64
    IBLE
    -0.64
    enance
    -0.63
    ifice
    -0.62
    )=(
    -0.61
    */(
    -0.60
    blance
    -0.60
     Orig
    -0.60
    nesses
    -0.60
    resy
    -0.59
    POSITIVE LOGITS
     jan
    0.67
     dancer
    0.64
     bikini
    0.64
     bombings
    0.63
     cruise
    0.63
     boxer
    0.61
     nurse
    0.60
     physicist
    0.60
     magn
    0.59
     riots
    0.59
    Activations Density 0.743%

    No Known Activations