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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. 11430
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    Explanations

    adjectives related to unusual or unexpected experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinions or emotions related to experiences

    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
    currently
    -1.01
     currently
    -0.87
     presently
    -0.82
     descendants
    -0.80
    arta
    -0.78
    objects
    -0.78
     Currently
    -0.76
    quartered
    -0.74
    artifacts
    -0.74
    Currently
    -0.73
    POSITIVE LOGITS
     disappointing
    0.87
     memorable
    0.87
     surreal
    0.87
     heartbreaking
    0.85
     raining
    0.84
     unexpected
    0.83
     humiliating
    0.81
     unintentional
    0.81
     disappointment
    0.80
     gracious
    0.80
    Activations Density 0.440%

    No Known Activations