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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. 3-RES-JB
    11. 17134
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    INDEX
    Explanations

    instances where the word "anything" or similar variations appear with high activation levels

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "anything" indicating uncertainty or lack of information

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    assis
    -0.83
    auri
    -0.81
    anos
    -0.75
    icons
    -0.74
    axy
    -0.72
    pic
    -0.71
    maximum
    -0.68
    ignore
    -0.66
    Runner
    -0.66
    kos
    -0.65
    POSITIVE LOGITS
     else
    1.23
     anymore
    1.03
     remotely
    1.02
     whatsoever
    0.95
     necessarily
    0.85
    Else
    0.83
     resembling
    0.80
     besides
    0.80
     meaningful
    0.79
     nor
    0.78
    Activations Density 0.024%

    No Known Activations