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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. 11-RES-JB
    11. 9259
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    Explanations

    phrases related to tasks or activities that require active participation or effort

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions or processes that require involvement or participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.98
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.90
    century
    -0.78
    sup
    -0.77
    oqu
    -0.75
    isode
    -0.75
    iform
    -0.74
    norm
    -0.73
    oS
    -0.73
    ruary
    -0.73
    POSITIVE LOGITS
     sacrificing
    0.97
     injecting
    0.94
     extracting
    0.89
     manipulating
    0.89
     stripping
    0.88
     lots
    0.88
     removing
    0.88
     swapping
    0.87
     contacting
    0.87
     exposing
    0.87
    Activations Density 0.137%

    No Known Activations