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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. 9-RES-JB
    11. 7457
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    Explanations

    references to entertainment and the entertainment industry

    oai_token-act-pair · gpt-3.5-turbo

    references to the entertainment industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inx
    -0.71
    ennett
    -0.69
    hat
    -0.69
    heed
    -0.68
    ignt
    -0.68
    apa
    -0.68
    guard
    -0.67
    gs
    -0.66
    sembly
    -0.66
    eled
    -0.65
    POSITIVE LOGITS
    tainment
    1.10
     venues
    0.81
     Tonight
    0.77
     quot
    0.75
    indust
    0.75
     Merchants
    0.75
    rities
    0.74
     mogul
    0.74
     entertainment
    0.72
    goers
    0.72
    Activations Density 0.048%

    No Known Activations