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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. 1-RES-JB
    11. 8747
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    Explanations

    mentions of different types of cargo

    oai_token-act-pair · gpt-3.5-turbo

    references to cargo

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.80
    vironment
    -0.79
    enegger
    -0.79
    thritis
    -0.76
     âĨij
    -0.74
    olving
    -0.71
     Tens
    -0.69
    monds
    -0.67
    arios
    -0.66
    indu
    -0.65
    POSITIVE LOGITS
     cargo
    1.41
     Cargo
    1.04
     freight
    1.03
     compartment
    1.01
     containers
    0.99
     manifests
    0.93
     crates
    0.93
     transporter
    0.92
     hangar
    0.90
     depot
    0.90
    Activations Density 0.006%

    No Known Activations