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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. 3152
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    Explanations

    noun phrases related to storage items

    oai_token-act-pair · gpt-3.5-turbo

    references to jars and containers

    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
     guiActiveUn
    -0.79
    ãĥ©ãĥ³
    -0.76
    voice
    -0.74
    nesota
    -0.74
    ãĤ´ãĥ³
    -0.71
     Fighters
    -0.71
     Ath
    -0.69
     resurg
    -0.67
    play
    -0.65
    sky
    -0.63
    POSITIVE LOGITS
     containing
    1.31
     lid
    1.23
     stuffed
    1.11
     stocked
    1.07
     filled
    1.05
     jars
    1.03
     contents
    1.03
     containers
    1.02
     overflowing
    1.02
    gie
    1.00
    Activations Density 0.221%

    No Known Activations