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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. 12357
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    Explanations

    individuals or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific ethnic or cultural groups and their identities

    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
     Moments
    -0.76
    Untitled
    -0.68
    Reading
    -0.68
    needs
    -0.66
    padding
    -0.65
     forgetting
    -0.65
    inventoryQuantity
    -0.64
    taboola
    -0.64
    EStream
    -0.64
    itized
    -0.64
    POSITIVE LOGITS
     specialize
    1.33
     reside
    1.33
     comprise
    1.30
     hail
    1.28
     inhabit
    1.26
     operate
    1.20
     practise
    1.19
     originate
    1.19
     adore
    1.15
     populate
    1.14
    Activations Density 0.440%

    No Known Activations