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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. 13058
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    INDEX
    Explanations

    mentions of electronic devices, specifically laptops

    oai_token-act-pair · gpt-3.5-turbo

    references to laptops

    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
    κ
    -0.79
    tale
    -0.79
    Relations
    -0.75
    staking
    -0.73
    odic
    -0.70
    abiding
    -0.67
    sv
    -0.67
    relations
    -0.66
    reek
    -0.66
    Æ
    -0.64
    POSITIVE LOGITS
     laptops
    1.30
     laptop
    1.24
     MacBook
    1.09
     computers
    1.04
    aptop
    1.02
    intosh
    0.96
    puter
    0.88
     notebook
    0.86
     sleeve
    0.86
     keyboards
    0.86
    Activations Density 0.006%

    No Known Activations