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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. 6-RES-JB
    11. 9830
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    Explanations

    scientific terms, specifically focusing on experiments, particles, and energy systems

    oai_token-act-pair · gpt-3.5-turbo

    references to experimental or scientific terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vati
    -0.75
    66666666
    -0.71
    ched
    -0.66
    ciating
    -0.65
    BOOK
    -0.65
    ============
    -0.63
     stake
    -0.62
     priced
    -0.62
    grave
    -0.62
    handled
    -0.60
    POSITIVE LOGITS
    uda
    0.98
    aceutical
    0.92
    ont
    0.90
    obile
    0.89
    ilk
    0.88
    ission
    0.86
    otor
    0.85
    agnetic
    0.84
    andom
    0.83
    obil
    0.82
    Activations Density 0.018%

    No Known Activations