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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. 3331
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    Explanations

    people meeting or having meetings with others

    oai_token-act-pair · gpt-3.5-turbo

    instances of meetings or interactions between individuals

    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
    fighter
    -0.70
     ILCS
    -0.70
    planet
    -0.66
    years
    -0.66
    ©¶æ¥µ
    -0.64
     Accessed
    -0.64
     absorbs
    -0.63
    arily
    -0.62
    .–
    -0.62
    eat
    -0.61
    POSITIVE LOGITS
     constituents
    1.00
     representatives
    0.97
     stakeholders
    0.87
     attendees
    0.85
     advisers
    0.81
    è¦ļéĨĴ
    0.80
     executives
    0.78
     strangers
    0.77
     superiors
    0.77
     donors
    0.76
    Activations Density 0.076%

    No Known Activations