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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. 8-RES-JB
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    Explanations

    phrases related to decision-making

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decision-making processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ewitness
    -0.73
    far
    -0.73
    bill
    -0.71
    ench
    -0.68
    Ĥª
    -0.68
    Ann
    -0.67
    owe
    -0.66
    ographs
    -0.65
    photos
    -0.65
    burn
    -0.65
    POSITIVE LOGITS
     processes
    0.99
     process
    0.95
     skills
    0.87
     mechanisms
    0.86
     apparatus
    0.86
     sessions
    0.85
     ability
    0.83
     Process
    0.80
     capability
    0.79
     session
    0.79
    Activations Density 0.095%

    No Known Activations