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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. 13341
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    Explanations

    names or terms related to cars, particularly the model "Xenia."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cinematic or visual concepts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Kendrick
    -0.82
     Ft
    -0.82
     fingert
    -0.79
     Clapper
    -0.79
     Pett
    -0.78
     Dillon
    -0.75
     Tatt
    -0.74
     RELEASE
    -0.73
     Fif
    -0.73
     bart
    -0.72
    POSITIVE LOGITS
    ia
    1.28
    ian
    1.07
    ians
    1.03
    ãĤ¹
    0.97
    IA
    0.94
    iosis
    0.93
    ology
    0.90
    iah
    0.89
    avia
    0.88
    iae
    0.87
    Activations Density 0.401%

    No Known Activations