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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. 10038
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    Explanations

    phrases related to effort and hard work

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to effort and dedication

    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
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    Negative Logits
    Ń·
    -0.65
    oggle
    -0.63
    react
    -0.63
     chairs
    -0.62
    ezvous
    -0.62
     Aden
    -0.61
    NetMessage
    -0.61
    eport
    -0.60
     runaway
    -0.60
    cars
    -0.60
    POSITIVE LOGITS
     expended
    1.10
     effort
    1.05
     ethic
    0.91
     invested
    0.90
     sacrifice
    0.89
    smanship
    0.87
     dedication
    0.86
     devoted
    0.84
    put
    0.81
    staking
    0.81
    Activations Density 0.207%

    No Known Activations