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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. 9-RES-JB
    11. 13106
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    Explanations

    numbers with percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentages or statistical data representations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WHERE
    -0.72
    Bloom
    -0.66
    0000000000000000
    -0.61
    000000
    -0.60
    Plex
    -0.60
    dozen
    -0.60
    00000
    -0.59
    Package
    -0.58
    Camera
    -0.58
    Root
    -0.58
    POSITIVE LOGITS
     23
    0.96
     11
    0.95
     17
    0.94
     19
    0.94
     21
    0.93
     13
    0.93
     39
    0.92
     29
    0.91
     22
    0.91
     31
    0.90
    Activations Density 0.078%

    No Known Activations