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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14036
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    Explanations

    words related to shipping or release events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the shipping and release of products, particularly in the tech and entertainment sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vere
    -0.78
    wild
    -0.73
    psy
    -0.73
    nor
    -0.71
    asper
    -0.70
    productive
    -0.70
     Howe
    -0.67
    nton
    -0.67
    cult
    -0.66
    oot
    -0.66
    POSITIVE LOGITS
     landfall
    0.87
     concurrently
    0.83
     worldwide
    0.77
     nationwide
    0.76
     domestically
    0.75
     alongside
    0.74
     globally
    0.72
     separately
    0.72
     Anniversary
    0.72
     standalone
    0.71
    Activations Density 0.200%

    No Known Activations