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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. 10-RES-JB
    11. 3399
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    Explanations

    issues related to poverty, unemployment, and social problems in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    issues related to socioeconomic challenges and crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.77
    vantage
    -0.73
    poke
    -0.73
    acers
    -0.73
    haps
    -0.73
    Sham
    -0.73
    ormal
    -0.71
    getic
    -0.71
    ODY
    -0.70
    DragonMagazine
    -0.70
    POSITIVE LOGITS
     unemployment
    1.71
     poverty
    1.71
     homelessness
    1.56
     shortages
    1.46
     malnutrition
    1.45
     instability
    1.43
     inequality
    1.42
     insecurity
    1.41
     impover
    1.40
     stagnation
    1.38
    Activations Density 0.450%

    No Known Activations