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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. 9-RES-JB
    11. 19854
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    Explanations

    phrases related to risks and threats

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to risk and danger

    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
     ..."
    -0.76
     everybody
    -0.64
     amazing
    -0.62
    Everybody
    -0.62
     scary
    -0.60
     ...
    -0.60
    People
    -0.60
     Everybody
    -0.59
     unbelievable
    -0.59
     lots
    -0.59
    POSITIVE LOGITS
     Whilst
    0.80
     whilst
    0.80
     aforementioned
    0.70
     wherein
    0.69
     penned
    0.69
     transpired
    0.67
     whereby
    0.66
     departing
    0.66
     util
    0.63
     Nanto
    0.61
    Activations Density 1.863%

    No Known Activations