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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. 5-RES-JB
    6. 7637
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    INDEX
    Explanations

    proper nouns and names of people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to award nominations and winners

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     humidity
    -0.69
    unct
    -0.66
     engulf
    -0.63
     trenches
    -0.62
     disturbance
    -0.61
     overloaded
    -0.61
     grinding
    -0.57
     surface
    -0.57
    amination
    -0.57
     haze
    -0.56
    POSITIVE LOGITS
    ij士
    0.69
    ername
    0.67
     waivers
    0.66
     Congratulations
    0.64
    $$$$
    0.64
    eligible
    0.63
     Cosponsors
    0.62
    è£
    0.60
    çĦ
    0.60
     Cabinet
    0.59
    Activations Density 1.333%

    No Known Activations