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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. 24448
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    Explanations

    mentions of flagship products or services

    oai_token-act-pair · gpt-3.5-turbo

    references to flagship products or services

    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
    uge
    -0.85
    thia
    -0.82
    inen
    -0.76
    usive
    -0.75
    arcity
    -0.74
    akia
    -0.72
    hene
    -0.72
    alter
    -0.71
    aping
    -0.70
    uth
    -0.70
    POSITIVE LOGITS
     flagship
    0.94
    mast
    0.81
     achievement
    0.74
     predator
    0.73
     contender
    0.71
     beverage
    0.70
    board
    0.70
     brew
    0.69
     jewel
    0.69
     Polaris
    0.68
    Activations Density 0.035%

    No Known Activations