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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1737
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    Explanations

    words 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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amina
    -0.71
    bing
    -0.70
    aired
    -0.64
    awar
    -0.64
    ateur
    -0.63
    bid
    -0.63
     Dak
    -0.63
    izont
    -0.63
    oby
    -0.63
    vae
    -0.63
    POSITIVE LOGITS
     decisions
    1.08
     makers
    0.81
     choices
    0.80
     maker
    0.74
     wisely
    0.73
     regarding
    0.72
     affecting
    0.72
     ACTIONS
    0.71
     decision
    0.71
     involving
    0.68
    Activations Density 0.035%

    No Known Activations