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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. 1-RES-JB
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    Explanations

    instances of the word "engagement" occurring in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to engagement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Dull
    -0.64
     Proud
    -0.62
     Tex
    -0.62
    mic
    -0.62
     Libertarian
    -0.59
     surviving
    -0.59
    天
    -0.59
     ranc
    -0.57
    ULE
    -0.57
     Stat
    -0.57
    POSITIVE LOGITS
     engagement
    1.51
    agement
    1.04
     engagements
    1.03
    ertodd
    0.92
    nesday
    0.92
    eering
    0.88
     engaged
    0.84
    eers
    0.84
    glers
    0.84
    uality
    0.83
    Activations Density 0.003%

    No Known Activations