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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. 9-RES-JB
    11. 23820
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    Explanations

    compliments related to professionalism and proficiency

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of artistic performance and creativity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.79
     Concern
    -0.79
    entary
    -0.75
     Participation
    -0.75
    population
    -0.73
     Sabha
    -0.72
    ļéĨĴ
    -0.72
    hello
    -0.71
     Bye
    -0.71
    Registration
    -0.71
    POSITIVE LOGITS
     deft
    1.48
     brilliantly
    1.24
     impecc
    1.14
     knack
    1.14
     effortlessly
    1.04
     convinc
    1.04
     meticulous
    1.01
     wisely
    1.01
     eloqu
    1.00
     meticulously
    1.00
    Activations Density 0.567%

    No Known Activations