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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. 21987
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    Explanations

    measurements in kilometers and miles

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with distances or measurements

    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
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    No Comments

    Negative Logits
    ãĤ¢ãĥ«
    -0.64
    ãĥĦ
    -0.64
    tnc
    -0.63
    ãĥ¥
    -0.62
    Reviewer
    -0.61
     answ
    -0.60
    (&
    -0.60
    soDeliveryDate
    -0.59
    ¾
    -0.58
    tags
    -0.57
    POSITIVE LOGITS
     apiece
    0.77
    ãĥİ
    0.69
     respectively
    0.68
     reserved
    0.66
    yards
    0.63
    eous
    0.61
    ridges
    0.61
    oused
    0.61
    +.
    0.60
     devoted
    0.56
    Activations Density 0.071%

    No Known Activations