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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. 9-RES-JB
    11. 15117
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    Explanations

    terms related to a wide range of spectra, such as light spectra, energy spectra, and behavior spectra

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of spectra

    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
    glers
    -0.76
    usc
    -0.75
    tons
    -0.74
    hur
    -0.72
    ston
    -0.71
    inse
    -0.68
    ber
    -0.68
    kus
    -0.67
    ãĥīãĥ©
    -0.67
    ished
    -0.66
    POSITIVE LOGITS
     spectrum
    1.07
     Spectrum
    0.96
     analy
    0.83
     frequencies
    0.76
     overlap
    0.69
    atile
    0.67
     radiation
    0.66
     holdings
    0.66
    hare
    0.66
     disorders
    0.62
    Activations Density 0.049%

    No Known Activations