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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. 6225
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    Explanations

    specific entities such as organizations, locations, and numbers mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to organizational names and specific locations

    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
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    No Comments

    Negative Logits
    ersive
    -0.76
    reviewed
    -0.63
    rit
    -0.62
     mechanically
    -0.61
     rooting
    -0.60
    ictions
    -0.59
    Posted
    -0.58
     emot
    -0.58
    unders
    -0.58
     cart
    -0.58
    POSITIVE LOGITS
     226
    1.33
     502
    1.33
     301
    1.33
     701
    1.32
     203
    1.31
     204
    1.31
     209
    1.30
     302
    1.29
     242
    1.29
     208
    1.28
    Activations Density 0.242%

    No Known Activations