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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. 4662
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    Explanations

    phrases related to decision-making processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decision-making processes and individuals involved in such 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
    ritch
    -0.75
    illin
    -0.70
    ilers
    -0.69
    sels
    -0.69
    aint
    -0.67
    achus
    -0.67
     Smile
    -0.63
    ngth
    -0.63
    dig
    -0.63
    ierre
    -0.63
    POSITIVE LOGITS
     decisions
    0.86
     decision
    0.82
     exped
    0.78
     unanimously
    0.77
     deciding
    0.75
     reinvest
    0.74
     judgement
    0.74
     overr
    0.74
     ACTIONS
    0.74
     direction
    0.73
    Activations Density 0.295%

    No Known Activations