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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. 10-RES-JB
    11. 4352
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    Explanations

    terms related to frequency or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frequency measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewed
    -0.83
    arte
    -0.81
    rue
    -0.78
    ermanent
    -0.78
    ovie
    -0.77
    inem
    -0.75
    obal
    -0.72
    omez
    -0.71
    alus
    -0.71
    ainers
    -0.70
    POSITIVE LOGITS
     frequencies
    1.07
     bands
    1.06
     frequency
    1.01
     hopping
    0.98
     spectrum
    0.96
     modulation
    0.94
     oscill
    0.92
     amplitude
    0.88
     fluctuations
    0.87
    frequency
    0.87
    Activations Density 0.068%

    No Known Activations