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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. 1243
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    INDEX
    Explanations

    words related to quality, care, and professionalism

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, particularly the word "and," indicating connections or additions in ideas

    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
    wic
    -0.88
    wives
    -0.74
    igers
    -0.74
    geons
    -0.74
    Newsletter
    -0.71
    obiles
    -0.70
    ãĥ³ãĤ¸
    -0.70
    kees
    -0.69
    odcast
    -0.68
    pps
    -0.68
    POSITIVE LOGITS
     refinement
    1.17
     excitement
    1.17
     nuance
    1.16
     creativity
    1.13
     sophistication
    1.13
     ingenuity
    1.12
     accountability
    1.12
     encouragement
    1.07
     experimentation
    1.06
     specificity
    1.06
    Activations Density 0.249%

    No Known Activations