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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. 2-RES-JB
    11. 21158
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    Explanations

    references to flagship products or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate a primary or leading product, service, or feature within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uge
    -0.74
    ordan
    -0.74
    gans
    -0.71
     Neighbor
    -0.70
    aping
    -0.69
    arcity
    -0.69
    avery
    -0.69
    alter
    -0.68
    psy
    -0.68
    oles
    -0.68
    POSITIVE LOGITS
     flagship
    1.06
    mast
    0.75
     antioxid
    0.74
     glim
    0.73
    wcs
    0.73
     darling
    0.71
     BaseType
    0.69
     Yamato
    0.68
    ãĥĦ
    0.65
     contender
    0.64
    Activations Density 0.008%

    No Known Activations