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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. 14813
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    Explanations

    phrases related to reading articles or stories

    oai_token-act-pair · gpt-3.5-turbo

    references to "the full story" or similar phrases suggesting comprehensive information

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    rade
    -0.80
    gat
    -0.74
    agents
    -0.73
    #$
    -0.73
    strate
    -0.72
     thereof
    -0.72
    hei
    -0.71
    android
    -0.71
    factor
    -0.70
    ãĥĺ
    -0.69
    POSITIVE LOGITS
     latest
    1.29
     full
    1.23
     entire
    1.16
     rest
    1.07
     entirety
    1.03
     original
    1.01
     complete
    0.98
     whole
    0.97
     newest
    0.96
     remainder
    0.96
    Activations Density 0.133%

    No Known Activations