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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. 6-RES-JB
    6. 2508
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    Explanations

    height and weight measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe height and weight measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oleon
    -0.80
     CBI
    -0.72
     Scrib
    -0.71
    ļéĨĴ
    -0.70
     FML
    -0.69
     Rohingya
    -0.69
     Gazette
    -0.67
     Imran
    -0.67
     Yus
    -0.67
     IA
    -0.67
    POSITIVE LOGITS
    interstitial
    1.20
    sized
    1.14
    forward
    1.01
    headed
    0.98
    scale
    0.96
    tall
    0.96
    length
    0.96
    assed
    0.94
    eyed
    0.93
    distance
    0.92
    Activations Density 0.070%

    No Known Activations