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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. 2-RES-JB
    11. 5955
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    Explanations

    mentions of different brewing companies and establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to brewing companies and their products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.89
    ktop
    -0.74
    vier
    -0.74
    ises
    -0.71
    igne
    -0.68
    ariat
    -0.67
    isation
    -0.66
    trak
    -0.66
    geon
    -0.66
    eq
    -0.66
    POSITIVE LOGITS
     Brewing
    0.97
     brewed
    0.92
     Company
    0.87
    SourceFile
    0.83
     yeast
    0.80
    algia
    0.78
    Brew
    0.76
    edIn
    0.76
     Mechdragon
    0.74
     brewer
    0.74
    Activations Density 0.010%

    No Known Activations