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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. 9-RES-JB
    11. 19730
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    Explanations

    terms related to processes or systems, particularly focusing on words related to organization and categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to systems, structures, and processes within various fields, particularly in technology and social sciences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĭ
    -0.80
    arty
    -0.79
    Jr
    -0.77
    apeake
    -0.76
    govtrack
    -0.74
    ãĥĥãĥī
    -0.72
    cffff
    -0.72
    soDeliveryDate
    -0.72
    é¾įåĸļ士
    -0.71
    éŃĶ
    -0.70
    POSITIVE LOGITS
    ifier
    0.75
    ifiers
    0.73
    undown
    0.68
    spection
    0.63
    orde
    0.62
    isters
    0.60
     necklace
    0.60
    etting
    0.58
     Spiel
    0.57
     Ceres
    0.57
    Activations Density 0.620%

    No Known Activations