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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. 3601
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    Explanations

    repetitive patterns or sequences of special characters within the text

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols that may indicate formatting or emphasis

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Peb
    -0.88
     strap
    -0.75
     TAG
    -0.62
     prayer
    -0.61
    oles
    -0.61
     Pilgrim
    -0.61
    atel
    -0.60
     plaque
    -0.60
     Dust
    -0.60
     scope
    -0.59
    POSITIVE LOGITS
    ————
    1.29
    ——
    1.20
    ————————
    1.11
    ————————————————
    1.10
    —-
    1.08
    ãĤ¦ãĤ¹
    1.04
    Lenin
    0.92
    ĸļ
    0.91
    >>>
    0.90
    ---------
    0.87
    Activations Density 0.013%

    No Known Activations