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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. 18215
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    Explanations

    terms related to financial status, such as income brackets and financial assistance programs

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¨ãĥ«
    -0.92
    uality
    -0.81
    canon
    -0.79
    itech
    -0.73
    ATURE
    -0.73
    ingu
    -0.73
    ature
    -0.72
    apo
    -0.71
    abba
    -0.70
    è£
    -0.70
    POSITIVE LOGITS
     earners
    1.34
     households
    1.25
     families
    1.10
     neighborhoods
    1.06
     neighbourhoods
    1.00
     immigrants
    1.00
     uninsured
    0.96
     Asians
    0.95
     countries
    0.95
     disadvantaged
    0.94
    Activations Density 0.074%

    No Known Activations