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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. 3147
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    Explanations

    references to breweries or homebrewing activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to brewing and beer

    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
     unnecess
    -0.73
    uve
    -0.72
     Leone
    -0.70
    Downloadha
    -0.68
     NCT
    -0.68
     Proced
    -0.66
     SEC
    -0.66
     JPM
    -0.63
    RFC
    -0.63
     Olympus
    -0.63
    POSITIVE LOGITS
    brew
    1.21
    eries
    1.04
     brewed
    0.99
    beer
    0.96
    emark
    0.95
    Brew
    0.93
    ery
    0.93
    £ı
    0.93
     brewing
    0.92
     homebrew
    0.90
    Activations Density 0.009%

    No Known Activations