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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23576
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    Explanations

    legal and bureaucratic language related to rules, instructions, and conditions

    oai_token-act-pair · gpt-3.5-turbo

    specific formal language and legal terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gigs
    -0.78
    elight
    -0.69
    ï¸ı
    -0.68
     vets
    -0.68
     goodbye
    -0.66
    ricks
    -0.65
     wisely
    -0.64
    everything
    -0.64
     something
    -0.64
     nicely
    -0.63
    POSITIVE LOGITS
     foregoing
    1.55
     licensee
    1.21
     applicant
    1.20
     afore
    1.17
     appellant
    1.16
     Administrator
    1.11
     petitioner
    1.10
     respondent
    1.08
     Applicant
    1.07
     Secretary
    1.06
    Activations Density 0.399%

    No Known Activations