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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. 6-RES-JB
    11. 11563
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    Explanations

    words related to negative or problematic situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "nightmare" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ators
    -1.01
    ivism
    -0.92
    orship
    -0.89
    Reference
    -0.87
    ements
    -0.87
    arya
    -0.87
    gemony
    -0.86
    ributes
    -0.83
    ional
    -0.82
    ensibly
    -0.82
    POSITIVE LOGITS
     nightmare
    0.93
     clut
    0.75
     Nightmare
    0.72
     ridden
    0.71
    mare
    0.66
     Skydragon
    0.66
     nightmares
    0.65
     Difficulty
    0.65
    mares
    0.64
     Beast
    0.64
    Activations Density 0.063%

    No Known Activations