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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. 4-RES-JB
    11. 1090
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    words related to different sources of energy

    oai_token-act-pair · gpt-3.5-turbo

    references to energy sources

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

    No Comments

    Negative Logits
    ellen
    -0.73
    ©¶æ¥µ
    -0.70
    aeper
    -0.70
    pter
    -0.68
    awk
    -0.67
    ead
    -0.66
    ipop
    -0.64
    awks
    -0.63
    achine
    -0.62
     Pats
    -0.62
    POSITIVE LOGITS
     sources
    0.89
     Sources
    0.83
    Fed
    0.82
    finding
    0.81
    source
    0.80
    ource
    0.80
     source
    0.79
    ources
    0.78
    ourcing
    0.78
    etter
    0.75
    Activations Density 0.015%

    No Known Activations