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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. 10-RES-JB
    11. 6022
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    Explanations

    instructions or suggestions

    oai_token-act-pair · gpt-3.5-turbo

    instructions or recommendations that emphasize the necessity of ensuring certain actions or conditions are met

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĨij
    -0.67
    aber
    -0.65
    hood
    -0.64
    bourg
    -0.63
    00000
    -0.61
    ROM
    -0.61
    ught
    -0.60
    hens
    -0.58
    bour
    -0.58
    lust
    -0.58
    POSITIVE LOGITS
     sure
    1.79
     adjustments
    1.10
    sure
    1.06
     Sure
    1.03
     arrangements
    0.92
     allowances
    0.90
     excuses
    0.89
     mistakes
    0.86
     decisions
    0.85
     assumptions
    0.84
    Activations Density 0.118%

    No Known Activations