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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. 2-RES-JB
    11. 18502
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    Explanations

    words related to consumption

    oai_token-act-pair · gpt-3.5-turbo

    references to consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Orion
    -0.64
     Ter
    -0.61
    mic
    -0.61
    beit
    -0.60
    called
    -0.59
    upon
    -0.59
    RAY
    -0.59
     Clancy
    -0.57
     Schne
    -0.56
     Gleaming
    -0.56
    POSITIVE LOGITS
     habits
    1.06
     consumption
    1.02
    itures
    1.02
    iture
    0.93
     expenditure
    0.91
     Consumption
    0.90
     expenditures
    0.87
    ð
    0.84
    ptions
    0.77
    ivities
    0.73
    Activations Density 0.008%

    No Known Activations