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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15807
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    INDEX
    Explanations

    phrases mentioning "ETS"

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of "sets" or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.85
     charact
    -0.76
     streng
    -0.76
     unden
    -0.73
     Witcher
    -0.73
    ãĥ¼ãĥĨ
    -0.70
     exha
    -0.70
     princ
    -0.69
     suspic
    -0.67
     gobl
    -0.66
    POSITIVE LOGITS
    wana
    1.19
    cape
    1.04
    pace
    0.99
    onic
    0.97
    tered
    0.93
    chen
    0.93
    tering
    0.90
    TING
    0.90
    heet
    0.90
    tle
    0.89
    Activations Density 0.035%

    No Known Activations