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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. 13515
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    Explanations

    mentions of financial and economic terms related to income levels

    oai_token-act-pair · gpt-3.5-turbo

    references to socio-economic status, particularly focusing on low-income individuals and communities

    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
    wcsstore
    -0.92
    hunt
    -0.78
    antine
    -0.73
    ibal
    -0.73
    angelo
    -0.70
    ãĥĵ
    -0.69
    natureconservancy
    -0.68
     Canaver
    -0.68
     Noir
    -0.67
    love
    -0.67
    POSITIVE LOGITS
     populations
    1.42
     communities
    1.34
     households
    1.31
     neighborhoods
    1.27
     individuals
    1.19
     families
    1.19
     borrowers
    1.18
     sectors
    1.18
     persons
    1.17
     neighbourhoods
    1.16
    Activations Density 0.131%

    No Known Activations