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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. 11-RES-JB
    11. 11396
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to countries and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    posed
    -0.74
    etsk
    -0.70
    soDeliveryDate
    -0.70
    eful
    -0.68
    isks
    -0.67
     productive
    -0.66
    gotten
    -0.66
    avi
    -0.66
    obe
    -0.66
     unpaid
    -0.64
    POSITIVE LOGITS
    wide
    1.30
    side
    0.88
    ality
    0.86
    atown
    0.81
     specificity
    0.79
    ally
    0.79
     collide
    0.79
    Wide
    0.79
     Specific
    0.78
    ALLY
    0.78
    Activations Density 0.196%

    No Known Activations