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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. 15728
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    Explanations

    phrases that signal transition or emphasis, often with repeated patterns

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or patterns in text

    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
     Marble
    -0.78
    creen
    -0.74
    wagen
    -0.71
     Bengal
    -0.68
    esville
    -0.67
     ABE
    -0.67
     guiActiveUnfocused
    -0.64
     Ern
    -0.64
     Borough
    -0.63
     Truman
    -0.63
    POSITIVE LOGITS
    ł
    1.14
    ¹
    1.00
    Ĵ
    0.86
    ª
    0.83
    sure
    0.83
    IJ
    0.82
    ı
    0.81
    ij
    0.80
    ķ
    0.79
    Ħ¢
    0.78
    Activations Density 0.155%

    No Known Activations