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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. 10-RES-JB
    11. 982
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    Explanations

    words related to attending events or gatherings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attend" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    slice
    -0.75
    deal
    -0.74
    gans
    -0.73
    username
    -0.72
    pex
    -0.70
    borne
    -0.70
    voy
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
    tight
    -0.67
    timer
    -0.67
    POSITIVE LOGITS
     meetings
    1.13
     seminars
    1.04
     conferences
    1.00
     rallies
    0.95
     lectures
    0.95
     ceremonies
    0.95
     funer
    0.92
     conventions
    0.92
     PAX
    0.89
     weddings
    0.87
    Activations Density 0.042%

    No Known Activations