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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. 7475
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    Explanations

    phrases indicating locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    repeated use of conjunctions, particularly "and" and "or"

    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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    No Comments

    Negative Logits
     IPM
    -0.68
    CHQ
    -0.64
     Bucc
    -0.62
     Electrical
    -0.61
    Mus
    -0.61
     Donation
    -0.61
     Cognitive
    -0.60
    hiba
    -0.59
    AMI
    -0.58
    Motor
    -0.57
    POSITIVE LOGITS
     elsewhere
    1.11
     abroad
    1.00
    orld
    0.81
     nowhere
    0.78
     Everywhere
    0.76
    âķIJ
    0.74
    anchester
    0.73
    ãģ¦
    0.73
    NOW
    0.72
    oké
    0.72
    Activations Density 0.088%

    No Known Activations