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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. 7-RES-JB
    11. 8622
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    Explanations

    mentions of the word "hop" or related words in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to hops or hop-related topics, particularly in the context of beer or brewing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Frankenstein
    -0.70
    ãĥīãĥ©ãĤ´ãĥ³
    -0.69
     Sorceress
    -0.69
     bruising
    -0.69
     behold
    -0.67
     Monstrous
    -0.66
    Downloadha
    -0.65
    APH
    -0.65
    anguage
    -0.62
     Haram
    -0.61
    POSITIVE LOGITS
    efully
    1.48
    eful
    1.47
    eless
    1.28
    emaker
    1.05
    esy
    0.98
    Hop
    0.95
    lyn
    0.90
    inion
    0.90
    olic
    0.89
    daq
    0.89
    Activations Density 0.027%

    No Known Activations