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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. 4-RES-JB
    11. 2150
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Break
    -0.67
    nee
    -0.67
    irl
    -0.64
    thia
    -0.63
    assis
    -0.62
    GH
    -0.61
    Ann
    -0.61
    pac
    -0.61
     Lie
    -0.61
    anta
    -0.60
    POSITIVE LOGITS
    emort
    0.93
     decisions
    0.85
     exerc
    0.83
    anship
    0.77
    eering
    0.74
     advis
    0.74
     orthodoxy
    0.74
     boards
    0.72
     behavi
    0.72
     apparatus
    0.72
    Activations Density 0.023%

    No Known Activations