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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
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    Explanations

    the word "shipped"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "shipped"

    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
    sen
    -0.77
    avez
    -0.77
    stood
    -0.75
    si
    -0.74
    init
    -0.74
    attribute
    -0.72
    ella
    -0.71
    reme
    -0.69
    urity
    -0.68
    opes
    -0.67
    POSITIVE LOGITS
     shipped
    1.22
     Yamato
    0.95
     shipment
    0.93
     containers
    0.88
     shipments
    0.82
     shipping
    0.77
    ãĥĥãĥī
    0.76
     ships
    0.76
     wrapped
    0.75
     sailed
    0.75
    Activations Density 0.011%

    No Known Activations