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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. 12-RES-JB
    11. 2339
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    Explanations

    terms related to negative consequences or actions

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    words related to oppression and suffering

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    orted
    -0.70
     Init
    -0.60
     autonom
    -0.59
     Bulletin
    -0.58
    s
    -0.57
     footage
    -0.55
     upt
    -0.55
     fire
    -0.55
     eclipse
    -0.55
    ioch
    -0.52
    POSITIVE LOGITS
    avement
    1.06
    aving
    0.86
    ave
    0.79
    thening
    0.79
    get
    0.78
    cing
    0.78
    ctory
    0.76
    give
    0.76
    BILITIES
    0.73
    ice
    0.73
    Activations Density 0.051%

    No Known Activations