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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
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    Explanations

    references to the word "powder" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of powders, particularly in a cooking or chemical context

    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
    nesota
    -0.80
    ĻĤ
    -0.79
    ocene
    -0.74
     Democr
    -0.73
    obal
    -0.66
    egal
    -0.64
    alian
    -0.63
    OVA
    -0.63
    GBT
    -0.62
    ŃĶ
    -0.62
    POSITIVE LOGITS
    stals
    0.96
    powder
    0.91
     powd
    0.89
    roleum
    0.79
     coating
    0.78
     powder
    0.77
    puff
    0.77
    flake
    0.76
     Powder
    0.74
     puff
    0.74
    Activations Density 0.027%

    No Known Activations