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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. 3-RES-JB
    6. 7620
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    Explanations

    words related to horrific and violent events

    oai_token-act-pair · gpt-3.5-turbo

    references to extreme violence or trauma

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.68
    pai
    -0.68
    pta
    -0.66
    arten
    -0.66
    sama
    -0.66
    arton
    -0.65
     Folder
    -0.64
    annis
    -0.64
    VO
    -0.63
    ritis
    -0.63
    POSITIVE LOGITS
    ally
    1.04
     earthqu
    0.93
     atrocities
    0.81
     horrors
    0.81
     nightmares
    0.76
     eleph
    0.74
    iously
    0.73
     asylum
    0.73
     beasts
    0.72
     tort
    0.72
    Activations Density 0.027%

    No Known Activations