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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    specific mentions of warehouses

    oai_token-act-pair · gpt-3.5-turbo

    mentions of warehouses

    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
    nir
    -0.63
     Recomm
    -0.63
    bernatorial
    -0.62
    odes
    -0.60
     Governments
    -0.60
    lev
    -0.59
    cific
    -0.59
    uated
    -0.58
    ppard
    -0.58
    reme
    -0.57
    POSITIVE LOGITS
     warehouse
    1.16
     warehouses
    1.13
    yard
    0.96
     guiActiveUnfocused
    0.92
    chwitz
    0.88
     Warehouse
    0.87
     shelves
    0.84
    housing
    0.80
     depot
    0.78
     hangar
    0.77
    Activations Density 0.007%

    No Known Activations