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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. 5220
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    Explanations

    terms related to social or moral judgment, including words associated with negativity or criticism

    oai_token-act-pair · gpt-3.5-turbo

    words related to social justice issues and equity

    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
    REDACTED
    -0.57
     Dragonbound
    -0.56
     Trader
    -0.55
     Spears
    -0.55
     Shack
    -0.53
    quickShipAvailable
    -0.52
    CHAT
    -0.52
     Finder
    -0.51
     Bravo
    -0.51
    è£ħ
    -0.51
    POSITIVE LOGITS
    assing
    0.78
    ivable
    0.69
    ulatory
    0.69
    abil
    0.68
    urring
    0.68
    itable
    0.66
    gment
    0.66
    acy
    0.65
    agog
    0.65
    ogenic
    0.65
    Activations Density 0.416%

    No Known Activations