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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. 0-RES-JB
    11. 11780
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    Explanations

    phrases related to shipping or delivery

    oai_token-act-pair · gpt-3.5-turbo

    references to shipping and delivery logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Princ
    -0.66
    chie
    -0.66
     Griffith
    -0.65
     Cain
    -0.65
    heard
    -0.64
     Bach
    -0.62
    nis
    -0.62
     Spur
    -0.61
     Sop
    -0.61
     Cooper
    -0.61
    POSITIVE LOGITS
     shipping
    3.73
     Shipping
    2.92
    Shipping
    2.54
     shipment
    2.01
     shipped
    1.82
     shipments
    1.79
     postage
    1.77
     ship
    1.52
     ships
    1.46
     freight
    1.44
    Activations Density 0.017%

    No Known Activations