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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11419
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    Explanations

    phrases related to economic concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to economic topics and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tower
    -0.84
    etts
    -0.84
    netflix
    -0.83
    naire
    -0.83
    lain
    -0.80
    20439
    -0.78
     Kens
    -0.77
    umbn
    -0.76
    rose
    -0.74
    ivas
    -0.73
    POSITIVE LOGITS
     downturn
    1.16
     hardship
    0.96
     exploitation
    0.92
     illiter
    0.90
     inequality
    0.90
     competitiveness
    0.90
     recession
    0.89
     disparity
    0.89
     incentives
    0.88
     literacy
    0.87
    Activations Density 0.045%

    No Known Activations