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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. 9-RES-JB
    11. 6151
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    Explanations

    technical specifications and features of electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to product features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undo
    -0.80
    Journal
    -0.75
    ModLoader
    -0.75
    queue
    -0.74
    example
    -0.74
    involved
    -0.74
    Companies
    -0.73
    FW
    -0.73
    chapter
    -0.73
    try
    -0.73
    POSITIVE LOGITS
     adjustable
    0.97
     a
    0.93
     an
    0.92
     bells
    0.91
     ample
    0.91
     amenities
    0.88
     extensive
    0.87
     sensors
    0.86
     built
    0.86
    stood
    0.86
    Activations Density 0.229%

    No Known Activations