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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. 9-RES-JB
    11. 6096
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    Explanations

    adjectives associated with negative or problematic situations

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing negative or intense emotions and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    events
    -1.08
    units
    -1.00
    artifacts
    -0.97
    items
    -0.95
    sites
    -0.92
    stories
    -0.91
    features
    -0.89
    stones
    -0.88
    pieces
    -0.88
    objects
    -0.88
    POSITIVE LOGITS
     swath
    1.01
     assortment
    0.98
     populace
    0.94
     array
    0.90
     standpoint
    0.88
     bunch
    0.85
     opponent
    0.82
     flurry
    0.81
     regimen
    0.81
     upbringing
    0.81
    Activations Density 0.308%

    No Known Activations