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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14652
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    Explanations

    words related to various aspects of the water supply and resource management

    oai_token-act-pair · gpt-3.5-turbo

    terms related to supply, resources, and systems in the context of food, water, and energy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.80
    webkit
    -0.70
    izoph
    -0.65
    cipled
    -0.65
    Gaming
    -0.65
     Scal
    -0.64
    assian
    -0.64
    quickShipAvailable
    -0.64
    laugh
    -0.63
    ritch
    -0.62
    POSITIVE LOGITS
    idon
    0.73
     regulation
    0.72
     Anthem
    0.71
     bott
    0.68
     modernization
    0.68
     wastewater
    0.68
     dams
    0.67
     deregulation
    0.66
     complying
    0.66
    ridor
    0.65
    Activations Density 0.454%

    No Known Activations