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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. 8-RES-JB
    6. 4640
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    Explanations

    phrases indicating waiting for something to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express waiting or anticipation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĦ
    -0.93
    ãĥ´
    -0.74
    rf
    -0.74
    ric
    -0.71
    uph
    -0.71
    minus
    -0.68
    ©¶æ¥µ
    -0.67
     sidel
    -0.67
    lower
    -0.66
    matter
    -0.65
    POSITIVE LOGITS
     reinforcements
    1.00
     arrival
    0.98
     confirmation
    0.92
     gratification
    0.90
     impatient
    0.89
     passage
    0.86
     someone
    0.82
     directions
    0.80
     sunrise
    0.80
     permission
    0.79
    Activations Density 0.078%

    No Known Activations