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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. 3287
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    INDEX
    Explanations

    phrases related to making errors or poor decisions

    oai_token-act-pair · gpt-3.5-turbo

    various types of decisions and mistakes in actions

    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
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    No Comments

    Negative Logits
    iolet
    -0.64
    adow
    -0.64
     Topics
    -0.63
    licks
    -0.61
    arling
    -0.59
    awed
    -0.58
    ongo
    -0.58
    aples
    -0.57
    ater
    -0.57
    redited
    -0.56
    POSITIVE LOGITS
     anew
    0.79
    liest
    0.73
    :]
    0.70
    olicy
    0.69
    Reloaded
    0.64
     wisely
    0.61
     bluntly
    0.61
     sarcast
    0.61
    same
    0.60
    ultimate
    0.60
    Activations Density 0.214%

    No Known Activations