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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. 15304
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    Explanations

    the name "Rog" with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals named Rog or related terms

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¯ãĥ³
    -0.76
    pora
    -0.73
     kHz
    -0.68
     []
    -0.68
     spaced
    -0.67
    ãĥĩãĤ£
    -0.65
     spores
    -0.65
     Tribal
    -0.65
     STEM
    -0.64
     Worldwide
    -0.64
    POSITIVE LOGITS
    ues
    1.29
    uel
    1.09
    uish
    1.09
     Rog
    1.05
    uers
    1.05
    ued
    0.99
    entin
    0.99
    rog
    0.95
    UE
    0.93
    ety
    0.90
    Activations Density 0.002%

    No Known Activations