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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. 3291
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    Explanations

    references to legislative bodies and documents

    oai_token-act-pair · gpt-3.5-turbo

    references to legislation or legal matters

    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
    Not in Any Lists

    No Comments

    Negative Logits
     IMAGES
    -0.73
    âķIJâķIJ
    -0.62
     negatively
    -0.61
    ¢
    -0.61
     kHz
    -0.60
     await
    -0.59
     Tycoon
    -0.59
    lder
    -0.59
     migrating
    -0.57
    CLASSIFIED
    -0.57
    POSITIVE LOGITS
    itimate
    1.70
    acy
    1.41
    acies
    1.35
    isl
    1.30
    ends
    1.22
    ales
    1.07
    oland
    1.06
    end
    1.02
    ality
    1.01
    ACY
    1.00
    Activations Density 0.021%

    No Known Activations