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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. 3-RES-JB
    11. 13172
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    Explanations

    references to computing and technology

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to computing power

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    eca
    -0.73
     Ventura
    -0.71
    Comment
    -0.70
    escription
    -0.66
    aternal
    -0.65
     Castro
    -0.65
    steen
    -0.64
     Ryder
    -0.64
    Dialog
    -0.64
     Falk
    -0.62
    POSITIVE LOGITS
     computing
    0.95
     peripher
    0.90
     gadgets
    0.89
     devices
    0.89
    livious
    0.85
     machines
    0.85
     laptops
    0.84
     technologies
    0.84
     algorithms
    0.83
    hiba
    0.83
    Activations Density 0.007%

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