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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    words related to political actions, specifically the concept of "repeal"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "repeal" in the context of legislation

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

    No Comments

    Negative Logits
    ioned
    -0.73
    Ac
    -0.73
    Condition
    -0.70
    pring
    -0.67
    ker
    -0.67
     Distribution
    -0.66
    query
    -0.66
    Tu
    -0.66
    Flow
    -0.66
     guiActiveUnfocused
    -0.65
    POSITIVE LOGITS
     repeal
    1.10
     repealing
    0.85
     repealed
    0.77
     bans
    0.71
     bills
    0.71
    fulness
    0.70
     abolish
    0.69
    ãĤ¡
    0.69
     enact
    0.68
     minded
    0.68
    Activations Density 0.013%

    No Known Activations