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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 2941
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    Explanations

    words related to intense negative events or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to traumatic events and violence

    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
    cium
    -0.79
    erate
    -0.71
    uable
    -0.70
    ricular
    -0.67
    BN
    -0.65
    izations
    -0.64
    redits
    -0.64
    aldi
    -0.63
     residences
    -0.63
    riages
    -0.63
    POSITIVE LOGITS
     awaiting
    0.89
     inflicted
    0.79
    stros
    0.77
     await
    0.75
    mong
    0.74
     Cthulhu
    0.73
     Spread
    0.71
     imaginable
    0.71
     havoc
    0.70
     scourge
    0.70
    Activations Density 0.040%

    No Known Activations