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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. 0-RES-JB
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    Explanations

    references to negative or challenging situations, particularly those related to fear or difficulty

    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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 0 - fear

    No Comments

    Negative Logits
     Particip
    -0.72
    ingu
    -0.70
    press
    -0.68
     participating
    -0.68
    notes
    -0.67
    particip
    -0.64
    ablished
    -0.63
    Members
    -0.62
    Particip
    -0.62
    members
    -0.62
    POSITIVE LOGITS
     nightmare
    3.85
     nightmares
    2.96
     Nightmare
    2.07
     Nightmares
    1.61
     headache
    1.58
     dream
    1.54
     ordeal
    1.41
     horrors
    1.37
     headaches
    1.33
     fiasco
    1.20
    Activations Density 0.017%

    No Known Activations