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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. 8-RES-JB
    11. 14486
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    Explanations

    phrases related to health consequences and impacts

    oai_token-act-pair · gpt-3.5-turbo

    references to health impacts and related benefits from various factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ropolitan
    -0.74
     FANTASY
    -0.69
     alphabet
    -0.68
    HEAD
    -0.67
    Newsletter
    -0.62
     isEnabled
    -0.61
     guiActive
    -0.61
     Dating
    -0.60
     chronological
    -0.59
     quotations
    -0.59
    POSITIVE LOGITS
     downstream
    0.88
     eventually
    0.73
     adversely
    0.71
     poorer
    0.71
     foreseeable
    0.70
     later
    0.67
     unintended
    0.65
     consequ
    0.65
     subsequent
    0.65
    soever
    0.65
    Activations Density 0.647%

    No Known Activations