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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. 8-RES-JB
    11. 12454
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    Explanations

    words related to the process of heating

    oai_token-act-pair · gpt-3.5-turbo

    words related to temperature and heating processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udo
    -0.75
    idas
    -0.70
    TeX
    -0.69
    ystem
    -0.69
     Commando
    -0.67
    ortium
    -0.66
    ledged
    -0.66
    buster
    -0.66
    legate
    -0.66
    utan
    -0.66
    POSITIVE LOGITS
     oven
    0.96
     heating
    0.83
     heated
    0.82
     vents
    0.79
     temperatures
    0.78
     stove
    0.78
     furnace
    0.78
     exch
    0.77
    achine
    0.74
     grill
    0.72
    Activations Density 0.038%

    No Known Activations