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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. 11886
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    Explanations

    phrases related to software functions and operations

    oai_token-act-pair · gpt-3.5-turbo

    warnings related to potential negative consequences

    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
     Flowers
    -0.86
     Kushner
    -0.78
     Fallon
    -0.78
     Myers
    -0.78
    Nich
    -0.77
     Aman
    -0.75
     Olive
    -0.75
     Boe
    -0.74
     Bren
    -0.74
     McDonnell
    -0.73
    POSITIVE LOGITS
     Track
    2.23
    Track
    2.10
     track
    2.05
     Tracks
    1.94
    track
    1.93
     tracks
    1.82
     tracker
    1.77
     tracking
    1.74
     Tracking
    1.69
     tracked
    1.67
    Activations Density 0.288%

    No Known Activations