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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. 3-RES-JB
    11. 17733
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    repeated non-alphanumeric characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     guiActiveUnfocused
    -0.80
    ORED
    -0.75
    theless
    -0.72
    20439
    -0.71
    aday
    -0.68
     Bain
    -0.66
     Bethlehem
    -0.66
    orkshire
    -0.65
    hof
    -0.65
    wagen
    -0.64
    POSITIVE LOGITS
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    ¼
    1.21
    ³
    1.21
    ķ
    1.19
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    1.19
    Activations Density 0.006%

    No Known Activations