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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. 7-RES-JB
    11. 9366
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    Explanations

    informative or technical terms related to various fields such as technology, medicine, and military

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to events or phenomena that have a notable impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agame
    -0.77
    hyde
    -0.69
    mma
    -0.69
     Puzzle
    -0.67
    swer
    -0.66
    uden
    -0.65
    iphate
    -0.64
    endment
    -0.61
    agonist
    -0.60
    ifice
    -0.60
    POSITIVE LOGITS
     levels
    0.83
    loads
    0.83
     versions
    0.79
     panels
    0.74
     backgrounds
    0.74
     considerations
    0.72
     briefings
    0.71
    zens
    0.71
     plac
    0.71
     suggestions
    0.70
    Activations Density 1.023%

    No Known Activations