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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. 6104
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    Explanations

    scientific studies or research related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to research studies and investigations

    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
    scribe
    -0.72
    gur
    -0.66
     disorderly
    -0.65
     granite
    -0.65
     Strongh
    -0.63
    cair
    -0.62
     Harmony
    -0.61
     belongings
    -0.61
     charm
    -0.61
    phia
    -0.59
    POSITIVE LOGITS
    Study
    0.94
    study
    0.91
     studies
    0.85
     conducted
    0.83
    alyses
    0.82
    Reviewed
    0.82
     study
    0.82
    doi
    0.81
     comparing
    0.80
     performed
    0.78
    Activations Density 0.068%

    No Known Activations