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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. 1-RES-JB
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    Explanations

    words related to frightening or disastrous situations

    oai_token-act-pair · gpt-3.5-turbo

    references to "nightmares" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    gemony
    -0.92
    ribut
    -0.86
    ribute
    -0.84
    enced
    -0.81
    ateur
    -0.81
    adding
    -0.81
    ients
    -0.80
    active
    -0.79
    rouse
    -0.78
    ributes
    -0.77
    POSITIVE LOGITS
     nightmare
    1.36
     nightmares
    1.11
     Nightmare
    0.91
     headache
    0.83
    mares
    0.78
     scenario
    0.77
     Chimera
    0.76
     headaches
    0.75
     havoc
    0.75
     Outbreak
    0.74
    Activations Density 0.006%

    No Known Activations