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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. 8-RES-JB
    6. 9151
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    information related to medical conditions and health risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Untitled
    -0.74
     horizont
    -0.72
     Syndicate
    -0.65
    Lenin
    -0.65
    Tokens
    -0.64
     pivot
    -0.64
    ibur
    -0.62
     Stronghold
    -0.62
     vend
    -0.62
    Flags
    -0.62
    POSITIVE LOGITS
     clinical
    1.29
     dietary
    1.25
     pediatric
    1.23
     hormonal
    1.21
     patients
    1.20
     Pediatrics
    1.19
     clinicians
    1.18
     clinically
    1.17
     hormone
    1.17
     Symptoms
    1.16
    Activations Density 1.440%

    No Known Activations