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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. 8-RES-JB
    11. 23997
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    Explanations

    words related to experiences of suffering or negative occurrences

    oai_token-act-pair · gpt-3.5-turbo

    words related to experiencing pain or hardship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enta
    -0.75
     Collider
    -0.67
    tein
    -0.67
    wed
    -0.64
    cluding
    -0.62
     Slate
    -0.62
    TRY
    -0.62
    available
    -0.62
    clude
    -0.61
    enabled
    -0.60
    POSITIVE LOGITS
     setbacks
    1.13
     losses
    0.97
     injuries
    0.90
     horrend
    0.88
     relegation
    0.86
     terribly
    0.85
     persecution
    0.85
     bouts
    0.85
     griev
    0.85
     fools
    0.84
    Activations Density 0.041%

    No Known Activations