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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. 4-RES-JB
    6. 18267
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    Explanations

    phrases indicating uncertainty or open-ended possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating uncertainty or speculation about outcomes

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

    No Comments

    Negative Logits
    sted
    -0.78
    zar
    -0.77
    arie
    -0.76
    edia
    -0.76
    ahime
    -0.72
    ullivan
    -0.71
    trak
    -0.68
    obile
    -0.67
    és
    -0.66
    odore
    -0.64
    POSITIVE LOGITS
     whatsoever
    0.93
     imaginable
    0.86
     occasion
    0.79
    pires
    0.76
     loaf
    0.72
    ifice
    0.71
     circumstance
    0.71
     deems
    0.70
     deem
    0.69
     chooses
    0.68
    Activations Density 0.127%

    No Known Activations