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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. 11252
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    INDEX
    Explanations

    actions or attributes that make people want to do something or buy something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss motivations or desires to engage with or purchase something

    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
    ĸļ
    -0.80
    å¦
    -0.75
    facts
    -0.74
     largeDownload
    -0.73
    oret
    -0.70
    ILLE
    -0.66
     equations
    -0.64
    description
    -0.63
     clarification
    -0.62
    Translation
    -0.62
    POSITIVE LOGITS
     invest
    0.94
     gamble
    0.91
     investing
    0.85
     recomm
    0.81
     buying
    0.81
     purchase
    0.79
     buy
    0.78
     investment
    0.77
     invested
    0.75
     sacrific
    0.73
    Activations Density 0.510%

    No Known Activations