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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. 6-RES-JB
    6. 19451
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    Explanations

    phrases related to problems, danger, harm, and injuries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety concerns and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ku
    -0.88
    kt
    -0.76
    liam
    -0.71
    kus
    -0.70
    ãĤ©
    -0.70
    kh
    -0.67
    utm
    -0.66
    bal
    -0.65
    last
    -0.65
     Loft
    -0.64
    POSITIVE LOGITS
     nor
    1.01
     whatsoever
    0.95
     anymore
    0.89
    erno
    0.71
     anywhere
    0.63
    ocard
    0.61
     detectable
    0.60
     temptation
    0.60
     Spray
    0.60
     slightest
    0.58
    Activations Density 0.870%

    No Known Activations