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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. 5620
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    Explanations

    information related to event scheduling and availability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the absence or unavailability of something

    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
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    Negative Logits
    Leaks
    -0.74
    forth
    -0.71
    amorph
    -0.70
    MIC
    -0.70
    ãĥ¼ãĥĨ
    -0.65
     manifold
    -0.65
     nonetheless
    -0.64
    Cong
    -0.63
     hypot
    -0.62
     whichever
    -0.62
    POSITIVE LOGITS
     javascript
    0.90
     JavaScript
    0.75
    embed
    0.73
     subtitles
    0.70
     DEBUG
    0.68
     ||
    0.67
     cookies
    0.67
     permissions
    0.67
     initialized
    0.67
     password
    0.66
    Activations Density 0.195%

    No Known Activations