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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. 11-RES-JB
    11. 3627
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    Explanations

    taking control or seizing opportunities

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions of taking or seizing control

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    oaded
    -0.72
    verified
    -0.70
    speaking
    -0.70
    è¦ļéĨĴ
    -0.67
     collabor
    -0.64
    enegger
    -0.64
    rouse
    -0.64
    volent
    -0.64
    cery
    -0.63
    linked
    -0.63
    POSITIVE LOGITS
     advantage
    1.23
    aways
    1.07
     care
    1.07
     precedence
    0.93
     exception
    0.84
    advant
    0.83
     risks
    0.82
     home
    0.81
     pride
    0.80
     precautions
    0.80
    Activations Density 0.050%

    No Known Activations