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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. 10-RES-JB
    11. 6228
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    oai_token-act-pair · gpt-3.5-turbo

    numeric values and numerical data related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mbuds
    -0.79
    ————————
    -0.79
    âĢIJ
    -0.78
    ,—
    -0.77
     councill
    -0.69
     ensu
    -0.67
     undermin
    -0.67
    EStreamFrame
    -0.66
    etheless
    -0.65
     exha
    -0.65
    POSITIVE LOGITS
    JUST
    1.44
    CNN
    1.24
    Photos
    1.12
     Replay
    1.10
     CNN
    1.06
     --
    0.96
    `
    0.85
     ï
    0.84
    `,
    0.83
     IMAGES
    0.77
    Activations Density 0.145%

    No Known Activations