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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. 3-RES-JB
    11. 6990
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    Explanations

    keywords related to significant public speaking events

    oai_token-act-pair · gpt-3.5-turbo

    references to formal speeches and presentations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rug
    -0.63
    worn
    -0.61
    gan
    -0.61
    oman
    -0.60
    tem
    -0.60
    ration
    -0.59
    orough
    -0.59
    gypt
    -0.59
    east
    -0.58
    abol
    -0.58
    POSITIVE LOGITS
     keynote
    1.16
     speaker
    0.95
     presentations
    0.85
     speeches
    0.84
     speakers
    0.83
     attendees
    0.79
    inar
    0.78
     announcements
    0.77
     lectures
    0.75
    WithNo
    0.74
    Activations Density 0.011%

    No Known Activations