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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. 7-RES-JB
    11. 7334
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    Explanations

    names of specific media outlets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of news outlets and media organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.65
    turn
    -0.65
    gra
    -0.64
     proven
    -0.61
    comes
    -0.61
    inventoryQuantity
    -0.60
    gone
    -0.60
    ont
    -0.59
     tide
    -0.59
    isSpecialOrderable
    -0.58
    POSITIVE LOGITS
     Highlands
    0.76
     interviewer
    0.75
    gres
    0.69
    inctions
    0.64
     via
    0.63
     Marketplace
    0.63
     afterward
    0.63
     correspondent
    0.63
    uyomi
    0.62
     Investors
    0.62
    Activations Density 0.111%

    No Known Activations