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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
    11. 14259
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    INDEX
    Explanations

    brewing companies or related establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to brewing companies and their activities

    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
    Downloadha
    -0.90
    imester
    -0.74
    ises
    -0.73
    zanne
    -0.69
    ised
    -0.68
    xus
    -0.68
    essage
    -0.67
    isy
    -0.67
    aunder
    -0.67
    mington
    -0.66
    POSITIVE LOGITS
     Company
    1.09
     Brewing
    0.83
     Circle
    0.82
    Champ
    0.81
     brewed
    0.80
    algia
    0.79
    iasco
    0.79
    Company
    0.77
     Co
    0.77
    Pi
    0.75
    Activations Density 0.015%

    No Known Activations