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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. 10-RES-JB
    11. 12478
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    Explanations

    phrases related to involvement or participation

    oai_token-act-pair · gpt-3.5-turbo

    references to involvement in processes or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.90
    DragonMagazine
    -0.89
    geist
    -0.81
    century
    -0.80
    ipedia
    -0.78
    isode
    -0.77
    si
    -0.76
    ruary
    -0.76
    rift
    -0.76
    iano
    -0.76
    POSITIVE LOGITS
     injecting
    0.99
     inserting
    0.97
     exposing
    0.92
     manipulating
    0.92
     removing
    0.89
     extracting
    0.89
     lots
    0.89
     swapping
    0.88
     importing
    0.88
     sacrificing
    0.87
    Activations Density 0.045%

    No Known Activations