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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. 2740
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    Explanations

    phrases mentioning the word "In" followed by a subsequent description or event

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "In" followed by numerical values or references to significant statements

    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
    resh
    -0.74
    76561
    -0.72
    MpServer
    -0.70
    ugu
    -0.67
     enthusi
    -0.64
     clipboard
    -0.61
     unlocks
    -0.60
    :/
    -0.59
     inspires
    -0.59
    Magn
    -0.56
    POSITIVE LOGITS
    herent
    1.39
     fact
    1.36
    sofar
    1.34
     essence
    1.31
     contrast
    1.21
     spite
    1.17
     addition
    1.16
    flation
    1.16
     retrospect
    1.11
    versely
    1.10
    Activations Density 0.137%

    No Known Activations