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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
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    Explanations

    mentions of pickup trucks

    oai_token-act-pair · gpt-3.5-turbo

    references to pickup trucks

    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
    udic
    -0.89
    âĸ¬âĸ¬
    -0.74
    âĸ¬
    -0.71
    Witness
    -0.70
    QU
    -0.69
    null
    -0.68
    ################
    -0.64
    Root
    -0.63
    ================================================================
    -0.63
     splend
    -0.62
    POSITIVE LOGITS
     pickup
    1.21
     trucks
    1.05
     pickups
    1.02
     truck
    0.99
    hetamine
    0.73
     selector
    0.72
    ļéĨĴ
    0.71
     crates
    0.70
     Crate
    0.70
    inished
    0.70
    Activations Density 0.008%

    No Known Activations