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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. 6-RES-JB
    6. 14445
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    INDEX
    Explanations

    verbs or phrases related to anticipation or waiting

    oai_token-act-pair · gpt-3.5-turbo

    words related to anticipation or expectation

    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
    vil
    -0.82
    caps
    -0.75
    vs
    -0.74
    Cola
    -0.71
    mes
    -0.70
    sis
    -0.69
    ming
    -0.69
    arse
    -0.68
    adj
    -0.68
    arc
    -0.67
    POSITIVE LOGITS
     patiently
    0.97
     awaiting
    0.93
     await
    0.90
     completion
    0.90
     awaited
    0.89
     awaits
    0.89
     arrival
    0.86
    dinand
    0.82
    UGE
    0.81
     eagerly
    0.78
    Activations Density 0.015%

    No Known Activations