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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. 4-RES-JB
    11. 15585
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    Explanations

    phrases related to comparison or contrast

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express significant accomplishments or notable capabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    alist
    -0.47
    sect
    -0.46
    NetMessage
    -0.45
    division
    -0.44
    )",
    -0.44
    frac
    -0.42
    enei
    -0.41
    ··
    -0.41
    products
    -0.39
     âĢİ
    -0.39
    POSITIVE LOGITS
     however
    0.89
     meanwhile
    0.66
     though
    0.64
     moreover
    0.59
     therefore
    0.56
     tho
    0.52
     Nek
    0.50
     furthermore
    0.48
     ital
    0.46
     refres
    0.44
    Activations Density 2.913%

    No Known Activations