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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. 1030
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    INDEX
    Explanations

    superlatives or rankings of countries, cities, diseases, packages, sports, movies, and other entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating rankings or statistics related to population, popularity, and significance

    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
    ité
    -0.69
    roth
    -0.66
    yon
    -0.65
    prototype
    -0.64
    ACY
    -0.64
    norm
    -0.63
    isson
    -0.63
     Orient
    -0.63
    raq
    -0.62
    ighting
    -0.60
    POSITIVE LOGITS
     earners
    0.84
     answ
    0.80
     unsolved
    0.73
     active
    0.72
     drawer
    0.68
    olulu
    0.68
     inactive
    0.68
    oppers
    0.67
     hinder
    0.66
     cooperating
    0.65
    Activations Density 0.067%

    No Known Activations