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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. 1-RES-JB
    11. 7398
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    Explanations

    phrases related to organizational missions or goals

    oai_token-act-pair · gpt-3.5-turbo

    references to missions or objectives related to various organizations or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aws
    -0.76
    Prev
    -0.73
    latest
    -0.72
    Column
    -0.69
    ãģį
    -0.69
    vae
    -0.67
    Mini
    -0.66
    Lot
    -0.66
    Series
    -0.66
    Off
    -0.65
    POSITIVE LOGITS
     mission
    1.17
     missions
    1.03
     creep
    0.90
    adelphia
    0.86
     Mission
    0.86
     Missions
    0.83
    arily
    0.82
     assignment
    0.78
    ichick
    0.76
    ISSION
    0.76
    Activations Density 0.009%

    No Known Activations