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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. 1-RES-JB
    11. 2688
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    Explanations

    mentions of the word "hydro" or related terms, suggesting a focus on hydroelectric power or hydrocarbons

    oai_token-act-pair · gpt-3.5-turbo

    references to hydro-related topics and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cardinals
    -0.85
     Breed
    -0.83
     Nationwide
    -0.81
    ¨
    -0.80
    lihood
    -0.79
     Keen
    -0.76
    ablishment
    -0.76
     Chance
    -0.74
     Valentine
    -0.74
     Lynch
    -0.74
    POSITIVE LOGITS
     hydro
    1.26
    carbon
    1.07
    chlor
    1.06
     absor
    0.99
    electric
    0.95
    ulic
    0.95
    cephal
    0.94
     sulf
    0.91
     incent
    0.89
    colour
    0.88
    Activations Density 0.006%

    No Known Activations