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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. 7-RES-JB
    11. 5214
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    Explanations

    numbers representing approximate quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express approximate quantification or estimation

    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
    orge
    -0.75
    owler
    -0.71
    etts
    -0.70
    psons
    -0.68
    rog
    -0.67
    ighting
    -0.65
    ande
    -0.64
    avanaugh
    -0.63
    anded
    -0.63
    ulhu
    -0.62
    POSITIVE LOGITS
     EUR
    0.73
     USD
    0.73
     850
    0.69
     Ambro
    0.68
     50
    0.68
     380
    0.68
     300
    0.67
     200
    0.67
     560
    0.66
     450
    0.66
    Activations Density 0.118%

    No Known Activations