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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. 0-RES-JB
    6. 23051
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    INDEX
    Explanations

    words related to negative experiences or disappointments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of summer and processes related to upgrading or improving

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imaru
    -0.72
     memorandum
    -0.68
     Coalition
    -0.68
     corp
    -0.64
     motion
    -0.63
     focal
    -0.63
     territ
    -0.63
     cogn
    -0.62
     jurisdiction
    -0.61
     litigation
    -0.60
    POSITIVE LOGITS
    ummer
    3.10
     Upgrade
    2.48
    Upgrade
    1.17
    lift
    1.06
    SOURCE
    0.95
     Oops
    0.94
    imil
    0.92
    RAFT
    0.91
    ungle
    0.89
    \<
    0.84
    Activations Density 0.034%

    No Known Activations