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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. 6764
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    Explanations

    references to water-related topics or incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of water-related issues and contexts

    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
    heon
    -0.65
    rices
    -0.64
    asms
    -0.64
    ablishment
    -0.63
    Brand
    -0.62
     tremend
    -0.62
     Schw
    -0.61
     CLSID
    -0.61
    ============
    -0.61
    astically
    -0.61
    POSITIVE LOGITS
    melon
    1.40
    water
    1.31
    loo
    0.92
    ashtra
    0.84
    marked
    0.82
    proof
    0.80
    ford
    0.79
    bird
    0.78
    drop
    0.78
    Water
    0.78
    Activations Density 0.007%

    No Known Activations