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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 17430
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    Explanations

    adjectives or nouns related to harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of harm or harmfulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quart
    -0.79
    Kings
    -0.71
    Hun
    -0.70
    eely
    -0.68
    ARCH
    -0.66
    Whe
    -0.65
    ebus
    -0.65
    peak
    -0.65
    TeX
    -0.64
    gran
    -0.64
    POSITIVE LOGITS
     harmful
    1.15
     harm
    1.03
     undermin
    1.01
     harms
    0.88
     endanger
    0.85
     adolesc
    0.85
     detrimental
    0.85
     consequences
    0.84
     contamin
    0.80
     harming
    0.80
    Activations Density 0.008%

    No Known Activations