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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. 3-RES-JB
    11. 3677
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    Explanations

    words related to different industries

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Riders
    -0.69
     Redemption
    -0.66
    theless
    -0.65
    fy
    -0.64
    onement
    -0.62
     bluff
    -0.58
     cancellation
    -0.58
     Dare
    -0.58
    itous
    -0.57
    gran
    -0.57
    POSITIVE LOGITS
     sectors
    0.95
    mith
    0.93
    chwitz
    0.91
    hops
    0.91
    folk
    0.89
     industries
    0.87
    hips
    0.83
    chool
    0.81
    wana
    0.80
    ynski
    0.80
    Activations Density 0.027%

    No Known Activations