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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. 5262
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    Explanations

    references to specific time frames, such as "weeks", "days", "hours", "months", and "years"

    oai_token-act-pair · gpt-3.5-turbo
    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
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    No Comments

    Negative Logits
    wards
    -0.68
    ahi
    -0.63
    antam
    -0.63
    bidden
    -0.62
    inse
    -0.62
     suspic
    -0.62
    enberg
    -0.61
    gging
    -0.60
    uctions
    -0.60
    monds
    -0.59
    POSITIVE LOGITS
     span
    1.12
     time
    0.96
    '
    0.92
     increments
    0.92
     timeframe
    0.91
    pan
    0.81
     ago
    0.81
     intervals
    0.79
    '.
    0.79
    !'
    0.78
    Activations Density 0.077%

    No Known Activations