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

    appearances of the word "Cartel"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Cart" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORMATION
    -0.82
    Downloadha
    -0.75
    IDENT
    -0.74
    HUD
    -0.72
    idency
    -0.69
    ITED
    -0.69
    ulton
    -0.68
    LEASE
    -0.65
    conservancy
    -0.65
     Helsinki
    -0.64
    POSITIVE LOGITS
    otle
    1.18
    ilage
    1.15
    cart
    1.07
    esian
    1.03
    ridges
    1.02
    oons
    1.02
    Cart
    1.02
    artisan
    0.96
    wright
    0.96
     Cart
    0.96
    Activations Density 0.007%

    No Known Activations