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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. 11-RES-JB
    11. 21403
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    Explanations

    phrases related to extreme negative situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to severe negative situations or crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynthesis
    -0.82
    yi
    -0.78
    sure
    -0.70
    yang
    -0.67
    leans
    -0.67
    kaya
    -0.66
    ivating
    -0.66
    Lago
    -0.66
     Restore
    -0.65
    rients
    -0.65
    POSITIVE LOGITS
     offenders
    1.15
     nightmare
    1.12
     offender
    1.12
     nightmares
    1.06
     imaginable
    1.03
     behaved
    0.95
     mistake
    0.88
     atrocities
    0.85
     atroc
    0.83
    worst
    0.82
    Activations Density 0.073%

    No Known Activations