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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 14212
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    Explanations

    words related to correctness and judgments of right or wrong

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wrong" and similar terms indicating mistakes or errors

    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
    ulating
    -0.87
    arding
    -0.82
    aic
    -0.79
    ulates
    -0.78
    ãĥ£
    -0.75
    etheless
    -0.75
    ascus
    -0.73
     externalToEVAOnly
    -0.73
    ptions
    -0.72
    perature
    -0.72
    POSITIVE LOGITS
     Blessed
    0.87
     Everywhere
    0.85
     Hands
    0.81
    mire
    0.81
     Woman
    0.80
     Hearts
    0.77
     Bound
    0.76
     Path
    0.75
     Guys
    0.75
    eous
    0.75
    Activations Density 0.054%

    No Known Activations