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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. 23366
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    Explanations

    brewing companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of brewing companies

    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
    Downloadha
    -0.82
    essage
    -0.65
    imester
    -0.65
    geon
    -0.65
    vier
    -0.64
    chenko
    -0.64
    igun
    -0.64
    ise
    -0.63
    PsyNetMessage
    -0.63
    ariat
    -0.63
    POSITIVE LOGITS
     Company
    0.94
     brewed
    0.90
     Brewing
    0.86
    iasco
    0.81
    stead
    0.79
     brewer
    0.78
    terness
    0.77
     yeast
    0.77
    Pi
    0.76
    algia
    0.75
    Activations Density 0.007%

    No Known Activations