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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. 6-RES-JB
    11. 4433
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    Explanations

    verbs followed by modal verbs indicating possibility or potential

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bots
    -0.78
    DERR
    -0.71
     Countdown
    -0.69
     Balls
    -0.67
     Daddy
    -0.66
     Regulations
    -0.65
    IVES
    -0.64
    posts
    -0.62
    Delivery
    -0.62
     Rounds
    -0.60
    POSITIVE LOGITS
    £ı
    1.08
    nikov
    0.89
    elf
    0.87
    atri
    0.82
     oneself
    0.82
     assume
    0.80
     argue
    0.80
    uden
    0.80
     speculate
    0.80
    agine
    0.79
    Activations Density 0.075%

    No Known Activations