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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 315
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    Explanations

    phrases related to fossil fuels

    oai_token-act-pair · gpt-3.5-turbo

    references to fossil fuels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ournal
    -0.76
    urat
    -0.72
    reads
    -0.70
     Parables
    -0.70
     Breach
    -0.69
    annis
    -0.69
    arta
    -0.69
    tch
    -0.67
    tub
    -0.65
    amber
    -0.64
    POSITIVE LOGITS
     fuels
    1.24
    ized
    1.19
     fuel
    1.10
    ization
    1.06
    ised
    1.04
    ifer
    1.03
    fuel
    1.03
    izers
    1.01
    isers
    0.99
    isation
    0.96
    Activations Density 0.020%

    No Known Activations