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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. 1734
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    Explanations

    specific measurements related to "kiln" or "kilogram."

    oai_token-act-pair · gpt-3.5-turbo

    references to "kilograms" or "kilns."

    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
    ACTED
    -0.83
    éĹĺ
    -0.76
     Fargo
    -0.68
    ãģį
    -0.68
     Solitaire
    -0.66
     Malf
    -0.66
    eem
    -0.63
    hips
    -0.63
     Guilty
    -0.61
     NETWORK
    -0.61
    POSITIVE LOGITS
    oby
    1.17
    patrick
    1.07
    ometers
    1.00
    oton
    0.99
    ogram
    0.96
    iman
    0.95
    roy
    0.94
    ometer
    0.93
    ograms
    0.92
    odynamic
    0.88
    Activations Density 0.040%

    No Known Activations