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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. 24259
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    Explanations

    references to risky situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to risk and speculation

    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
    Nap
    -0.91
    frey
    -0.88
    anooga
    -0.86
    yers
    -0.85
    chu
    -0.85
    oct
    -0.84
    pel
    -0.83
    ı
    -0.82
    upon
    -0.81
    orah
    -0.79
    POSITIVE LOGITS
     risky
    1.06
     gamble
    1.02
     gamb
    0.98
     bets
    0.94
     enterprises
    0.90
     investments
    0.88
     behaviors
    0.87
     maneuvers
    0.84
     behavior
    0.84
     ventures
    0.84
    Activations Density 0.052%

    No Known Activations