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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. 4-RES-JB
    11. 13725
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    Explanations

    phrases related to warnings and caution

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to warnings and concerns about risks or dangers

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

    No Comments

    Negative Logits
    Laughs
    -0.74
    lez
    -0.71
    alter
    -0.67
    bles
    -0.66
    Interview
    -0.65
    chens
    -0.63
    ULAR
    -0.62
    heter
    -0.61
     largeDownload
    -0.61
    è£
    -0.60
    POSITIVE LOGITS
     impending
    0.76
     warnings
    0.71
     Signs
    0.70
     lest
    0.70
     Cly
    0.65
     withd
    0.64
     ahead
    0.62
     ®
    0.62
     signs
    0.62
     incoming
    0.61
    Activations Density 0.176%

    No Known Activations