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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
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    Explanations

    words related to urgent or desperate situations

    oai_token-act-pair · gpt-3.5-turbo

    the word "desperate" and its variations, indicating a strong sense of urgent need

    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
    arthed
    -1.06
    gemony
    -0.85
    nesota
    -0.82
    onym
    -0.81
    roma
    -0.75
    rats
    -0.73
    lance
    -0.72
    cript
    -0.71
    insula
    -0.69
    essee
    -0.68
    POSITIVE LOGITS
     pleas
    0.96
     NEED
    0.88
     necessity
    0.88
    needed
    0.87
     need
    0.86
     desperately
    0.85
     pleading
    0.85
     plea
    0.82
     begging
    0.79
     clinging
    0.78
    Activations Density 0.054%

    No Known Activations