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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. 7-RES-JB
    11. 9826
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    Explanations

    phrases related to systems, regulations, and records, especially in the context of official documentation or institutions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to economic and social issues

    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
    Reviewer
    -0.88
    é¾įåĸļ士
    -0.76
    ãĤ¢ãĥ«
    -0.76
    æĸ¹
    -0.72
    ulative
    -0.69
    ÃĽ
    -0.67
    depending
    -0.66
    ETHOD
    -0.66
    EGIN
    -0.66
    EMBER
    -0.65
    POSITIVE LOGITS
     mustard
    0.60
    ornia
    0.59
     bikini
    0.59
     piping
    0.58
     Betsy
    0.58
     cran
    0.58
     etc
    0.56
     parity
    0.56
    agues
    0.56
    vag
    0.55
    Activations Density 0.966%

    No Known Activations