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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. 7764
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    Explanations

    terms related to specific cultural or religious groups, as well as political and geographical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to various ethnic, religious, and cultural groups

    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
    FUL
    -0.70
     Atlantis
    -0.70
    staking
    -0.64
    displayText
    -0.62
     approving
    -0.61
    CTV
    -0.60
    ful
    -0.60
     Amen
    -0.60
    ĸļ
    -0.58
    risome
    -0.58
    POSITIVE LOGITS
    parts
    0.64
    riks
    0.61
    sts
    0.60
    kowski
    0.59
    ties
    0.58
    alions
    0.57
    .–
    0.57
    quez
    0.56
     lan
    0.55
    roups
    0.54
    Activations Density 0.483%

    No Known Activations