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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. 12-RES-JB
    11. 4852
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    INDEX
    Explanations

    words related to different types of jobs, employment situations, and economic conditions

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    negative sentiments related to jobs and employment

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     GOODMAN
    -0.80
     Rolls
    -0.73
     balloons
    -0.69
     Codex
    -0.69
     roll
    -0.66
     Roll
    -0.65
     forecast
    -0.65
     magazine
    -0.63
     roller
    -0.63
     Brooks
    -0.62
    POSITIVE LOGITS
    timer
    1.21
    Jewish
    1.16
    time
    1.15
    Timer
    1.13
    tim
    1.11
    Time
    1.05
    owner
    1.04
    TIME
    1.03
    Saharan
    0.97
    Jews
    0.97
    Activations Density 0.029%

    No Known Activations