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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. 1-RES-JB
    11. 5190
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    INDEX
    Explanations

    phrases related to potential threats or dangers

    oai_token-act-pair · gpt-3.5-turbo

    references to dangers or risks

    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
    bits
    -0.75
    uties
    -0.73
    mys
    -0.72
    oots
    -0.71
    igs
    -0.67
     Taste
    -0.66
    urgy
    -0.66
    puted
    -0.65
    ourn
    -0.65
    unes
    -0.64
    POSITIVE LOGITS
     threat
    1.23
     threats
    1.02
    threat
    1.01
     menace
    0.96
     Threat
    0.96
    crow
    0.87
     undermin
    0.85
     posed
    0.84
     deterrent
    0.84
     threaten
    0.81
    Activations Density 0.012%

    No Known Activations