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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 6784
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    key geographical and organizational references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.50
    âķIJâķIJ
    -0.46
    CAST
    -0.44
    uchin
    -0.44
    wx
    -0.43
    Gene
    -0.43
    emonic
    -0.43
    ãĥ£
    -0.42
    Merit
    -0.42
    steamapps
    -0.42
    POSITIVE LOGITS
    rique
    0.57
     skelet
    0.50
    alion
    0.46
     rul
    0.44
    eers
    0.43
    Connector
    0.42
     conduc
    0.42
     mosqu
    0.41
     equivalents
    0.41
     matured
    0.41
    Activations Density 3.307%

    No Known Activations