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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. 2-RES-JB
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    Explanations

    words related to negative or frightening experiences

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gemony
    -0.94
    ribut
    -0.83
    rity
    -0.83
    ients
    -0.81
    ahon
    -0.79
    ribute
    -0.78
    efficients
    -0.75
    ributes
    -0.73
    encing
    -0.73
    rouse
    -0.73
    POSITIVE LOGITS
     nightmare
    1.25
     nightmares
    0.96
     Nightmare
    0.87
     scenario
    0.79
    mares
    0.77
    ishly
    0.74
     headache
    0.72
     dreamed
    0.71
     havoc
    0.70
     Incarn
    0.70
    Activations Density 0.008%

    No Known Activations