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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 659
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    Explanations

    phrases related to expressing opinions or personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate problem-solving or finding solutions

    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
     broadly
    -0.75
     decidedly
    -0.72
    umably
    -0.71
     understandably
    -0.67
     ostensibly
    -0.65
     respectively
    -0.64
     unsurprisingly
    -0.64
     Notably
    -0.64
    surprisingly
    -0.64
    ensibly
    -0.64
    POSITIVE LOGITS
     lvl
    0.75
     refund
    0.62
     ****
    0.61
     downgrade
    0.61
    ļéĨĴ
    0.60
     cpu
    0.60
     WRITE
    0.59
     correction
    0.59
     WHY
    0.59
     cure
    0.59
    Activations Density 1.792%

    No Known Activations