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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. 3-RES-JB
    11. 18383
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    INDEX
    Explanations

    adjectives related to quality that denote something as below a certain standard

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with substandard conditions or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stead
    -0.70
    steen
    -0.64
    shapeshifter
    -0.63
     accomplishment
    -0.62
    SEE
    -0.61
     Archdemon
    -0.61
     dwarves
    -0.61
     unborn
    -0.59
    gow
    -0.59
     diagn
    -0.58
    POSITIVE LOGITS
    xual
    0.85
    heses
    0.85
    achment
    0.81
    incial
    0.80
     Cosponsors
    0.77
    isans
    0.75
    alyses
    0.74
    duct
    0.73
    ption
    0.72
    racted
    0.70
    Activations Density 0.086%

    No Known Activations