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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. 6-RES-JB
    11. 15081
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    INDEX
    Explanations

    phrases related to deep or thorough thinking

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating contemplation or careful consideration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ante
    -0.77
    adra
    -0.72
    catentry
    -0.71
    ocious
    -0.64
    ario
    -0.64
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
    edition
    -0.62
    riott
    -0.61
    tumblr
    -0.60
    Demand
    -0.59
    POSITIVE LOGITS
     aloud
    0.83
     provoking
    0.80
     carefully
    0.66
    ti
    0.64
     Bout
    0.63
     Miko
    0.62
    oby
    0.61
    gaard
    0.59
    acly
    0.59
    swer
    0.58
    Activations Density 0.160%

    No Known Activations