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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. 6695
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    Explanations

    industries and organizations related to different sectors, such as automotive, pharmaceuticals, evangelism, sports leagues, and technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific industries and organizations

    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
    govtrack
    -0.64
    DragonMagazine
    -0.63
    )=(
    -0.57
    itars
    -0.55
    haps
    -0.53
    */(
    -0.53
     beware
    -0.52
    quickShipAvailable
    -0.52
     âĵĺ
    -0.52
    hemy
    -0.51
    POSITIVE LOGITS
    osphere
    0.83
    iest
    0.67
     era
    0.66
     Institute
    0.62
     portion
    0.61
     universe
    0.61
     sector
    0.61
     Legislature
    0.60
     ecosystem
    0.59
     throne
    0.59
    Activations Density 1.069%

    No Known Activations