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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. 24424
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    Explanations

    phrases related to critical situations or emergencies

    oai_token-act-pair · gpt-3.5-turbo

    references to the current situation or state of affairs in various contexts

    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
    ighters
    -0.86
    tein
    -0.84
    rotein
    -0.77
    rib
    -0.76
    ithe
    -0.75
    collar
    -0.74
    icket
    -0.73
    glomer
    -0.73
    cott
    -0.72
    lav
    -0.72
    POSITIVE LOGITS
     Situation
    0.98
     unfolding
    0.90
     situation
    0.90
     unfold
    0.85
     quo
    0.81
     unfolded
    0.79
    uation
    0.76
     situations
    0.75
    ually
    0.74
     involving
    0.72
    Activations Density 0.023%

    No Known Activations