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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 9921
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    Explanations

    words related to communication methods and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to communications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jury
    -0.89
    steen
    -0.88
    endon
    -0.88
    lein
    -0.88
    iless
    -0.87
    gling
    -0.86
    ighed
    -0.78
    urat
    -0.75
    ipedia
    -0.73
    herty
    -0.71
    POSITIVE LOGITS
     channels
    0.93
     networks
    0.90
    communications
    0.88
     communications
    0.86
     messages
    0.83
     protocols
    0.83
     medium
    0.82
     transmissions
    0.78
     communication
    0.78
     disruptions
    0.78
    Activations Density 0.033%

    No Known Activations