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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. 3-RES-JB
    11. 23559
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    Explanations

    words related to situations that are extremely challenging or distressing

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gemony
    -0.83
    ribut
    -0.83
    ribute
    -0.78
    rylic
    -0.77
    rity
    -0.75
    ahon
    -0.74
    efficients
    -0.73
    adding
    -0.73
    ients
    -0.71
    gars
    -0.70
    POSITIVE LOGITS
     nightmare
    1.15
     nightmares
    0.88
     Nightmare
    0.85
    mares
    0.84
     scenario
    0.80
     Incarn
    0.74
     aloud
    0.71
     headache
    0.69
    ishly
    0.69
     ridden
    0.67
    Activations Density 0.007%

    No Known Activations