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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. 10-RES-JB
    6. 193
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    Explanations

    phrases expressing uncertainty or confusion about what to do in a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express confusion or uncertainty about actions and events

    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
    liam
    -0.72
    uably
    -0.66
    ramid
    -0.64
     advocates
    -0.63
     controversies
    -0.62
    eatures
    -0.61
     advoc
    -0.60
     endors
    -0.59
    iosyncr
    -0.59
     Lifetime
    -0.58
    POSITIVE LOGITS
     beforehand
    1.05
     anymore
    0.97
    .
    0.89
     downstairs
    0.88
     upstairs
    0.87
    .;
    0.87
    !.
    0.86
    .[
    0.83
    ++;
    0.83
    ãĢĤ
    0.83
    Activations Density 0.706%

    No Known Activations