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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. 4-RES-JB
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    Explanations

    references to various entertainment-related entities or companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of entertainment companies and related entities

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

    No Comments

    Negative Logits
    xual
    -0.70
     gull
    -0.69
    ym
    -0.69
    geries
    -0.68
    abouts
    -0.68
    wered
    -0.68
    izophren
    -0.68
    itzer
    -0.67
    utherford
    -0.66
    vol
    -0.64
    POSITIVE LOGITS
     Entertainment
    0.97
     Enterprises
    0.94
     Merchants
    0.89
     Awards
    0.85
     Studios
    0.84
     Publishing
    0.83
    Club
    0.82
     Devices
    0.82
     Weekly
    0.81
    District
    0.80
    Activations Density 0.007%

    No Known Activations