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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. 4-RES-JB
    11. 16769
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    INDEX
    Explanations

    words related to the search engine "Google" and actions related to looking up information online

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to the concept of "Googling" or searching online

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

    No Comments

    Negative Logits
    ection
    -0.76
    ensing
    -0.74
    Weather
    -0.71
    itu
    -0.71
    liction
    -0.69
    igmat
    -0.69
    NEW
    -0.67
    adjusted
    -0.67
    uncture
    -0.66
    UCT
    -0.66
    POSITIVE LOGITS
     unnoticed
    0.78
    ĵĺ
    0.74
    zag
    0.73
     Jew
    0.69
    Ô
    0.64
     Ltd
    0.63
    lems
    0.63
    INGTON
    0.62
     Undead
    0.61
    busters
    0.61
    Activations Density 0.055%

    No Known Activations