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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. 9-RES-JB
    6. 12056
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    Explanations

    phrases related to poses a threat, danger, risk, or problem to various entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential threats or dangers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essen
    -0.74
    endars
    -0.73
     Manufact
    -0.73
    cknowled
    -0.71
    lang
    -0.67
    ynthesis
    -0.66
     Celebr
    -0.65
    enson
    -0.64
    utenberg
    -0.64
    ciples
    -0.64
    POSITIVE LOGITS
     danger
    1.41
     threat
    1.37
     hazard
    1.37
     risk
    1.33
     risks
    1.26
     dangers
    1.22
     peril
    1.18
     challenge
    1.11
     disadvantage
    1.09
    threat
    1.08
    Activations Density 0.114%

    No Known Activations