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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. 24105
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    INDEX
    Explanations

    phrases related to events or activities occurring at night

    oai_token-act-pair · gpt-3.5-turbo

    specific names and identifiers related to media and organizations

    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
    ãĤ´ãĥ³
    -0.77
    lav
    -0.73
    gow
    -0.71
    rss
    -0.70
    optim
    -0.66
    afety
    -0.66
    osaurus
    -0.65
    clud
    -0.63
    ylene
    -0.62
    ĸļ
    -0.61
    POSITIVE LOGITS
     Shotgun
    0.59
     Thing
    0.57
     Horses
    0.53
    ļ
    0.52
     Truth
    0.51
     Force
    0.51
     Razor
    0.50
     riches
    0.50
    eret
    0.50
     Divine
    0.50
    Activations Density 0.413%

    No Known Activations