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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. 11-RES-JB
    11. 87
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    Explanations

    phrases related to financial success or making a living

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making a living or generating income

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osen
    -0.73
     Metatron
    -0.73
    icon
    -0.72
    Sym
    -0.70
    idth
    -0.70
    iolet
    -0.65
    ppa
    -0.64
    actionDate
    -0.62
    Berry
    -0.62
    ":["
    -0.62
    POSITIVE LOGITS
     selling
    1.40
     exploiting
    1.16
     exporting
    1.08
     off
    1.05
     Selling
    1.05
     investing
    1.02
     renting
    1.02
     handsome
    0.98
     extracting
    0.98
     betting
    0.96
    Activations Density 0.124%

    No Known Activations