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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. 6083
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    Explanations

    individuals or groups of people who are impacted by specific actions or legislation

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various groups of individuals or entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ilogy
    -0.59
    leneck
    -0.57
    izoph
    -0.56
    ilings
    -0.54
     sclerosis
    -0.53
    rection
    -0.52
    RT
    -0.51
     enthus
    -0.50
    ohl
    -0.49
    %:
    -0.49
    POSITIVE LOGITS
     to
    1.10
     alike
    0.88
     wishing
    0.81
     like
    0.81
     everywhere
    0.80
     who
    0.80
     toget
    0.79
    to
    0.74
    hip
    0.72
     wanting
    0.72
    Activations Density 0.133%

    No Known Activations