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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. 9-RES-JB
    11. 24308
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    INDEX
    Explanations

    mentions or references to specific names or topics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mention" and its variations, indicating a focus on references to people or subjects not discussed

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ¯¯¯¯¯¯¯¯
    -0.84
    sis
    -0.77
    ï¸
    -0.74
    quer
    -0.74
    ¯¯
    -0.72
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.72
    onew
    -0.70
    kie
    -0.69
    zers
    -0.67
    wich
    -0.66
    POSITIVE LOGITS
     mentioning
    1.00
    lihood
    0.96
     mentions
    0.84
     mention
    0.77
     Kislyak
    0.75
     aloud
    0.73
    lessness
    0.70
     prominently
    0.68
     names
    0.67
    lessly
    0.66
    Activations Density 0.043%

    No Known Activations