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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. 0-RES-JB
    6. 8852
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    Explanations

    words related to harm or danger

    oai_token-act-pair · gpt-3.5-turbo

    terms related to harm and negative impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤº
    -0.80
     Pens
    -0.78
    Tools
    -0.68
     excav
    -0.67
    Activity
    -0.65
    mine
    -0.65
    Screen
    -0.65
     Poc
    -0.65
     Ig
    -0.64
    Enlarge
    -0.63
    POSITIVE LOGITS
     choke
    1.82
    harm
    1.57
     dizz
    1.35
     staggered
    1.34
     bankrupt
    1.33
     cant
    1.31
     choked
    1.28
     choking
    1.27
     stagger
    1.24
     inco
    1.19
    Activations Density 0.047%

    No Known Activations