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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. 6369
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    INDEX
    Explanations

    mentions of shipping or related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to shipping processes and related logistics

    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
    ktop
    -0.83
    lder
    -0.76
    eds
    -0.74
    ioch
    -0.73
    avez
    -0.73
    nos
    -0.72
    nered
    -0.70
    bre
    -0.69
    ellen
    -0.69
    opes
    -0.68
    POSITIVE LOGITS
     shipping
    0.97
     Shipping
    0.97
     containers
    0.90
     container
    0.76
     lanes
    0.76
     freight
    0.76
    Shipping
    0.75
     Yamato
    0.73
    Ship
    0.73
     convoy
    0.72
    Activations Density 0.008%

    No Known Activations