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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. 24076
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    Explanations

    language related to social and political issues, particularly around discrimination, suppression, exclusion, and resistance

    oai_token-act-pair · gpt-3.5-turbo

    themes related to discrimination and exclusion

    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
     confir
    -0.69
     Guinness
    -0.68
     parentheses
    -0.66
     Annotations
    -0.63
     diagrams
    -0.63
    CHECK
    -0.62
     diagram
    -0.61
    emonium
    -0.61
     magnification
    -0.61
    soDeliveryDate
    -0.61
    POSITIVE LOGITS
     dissent
    1.05
     minorities
    0.96
     inconvenient
    0.94
     democratically
    0.93
     whistleblowers
    0.92
     innocent
    0.91
     marginalized
    0.89
     dissidents
    0.88
     perpetrators
    0.87
     delinquent
    0.87
    Activations Density 0.469%

    No Known Activations