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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. 10266
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentage values and their associated metrics

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    icon
    -0.70
    zie
    -0.68
     Rav
    -0.67
    worldly
    -0.67
    ipples
    -0.66
    kefeller
    -0.65
    ĪĴ
    -0.63
    pload
    -0.63
    emed
    -0.62
    achus
    -0.61
    POSITIVE LOGITS
     utilization
    0.87
     humidity
    0.82
    PsyNetMessage
    0.79
     accuracy
    0.78
     occupancy
    0.77
     confidence
    0.70
     ABV
    0.69
     reuse
    0.67
     completion
    0.67
     reservation
    0.67
    Activations Density 0.065%

    No Known Activations