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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. 1-RES-JB
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    Explanations

    references to individuals named Wendy

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to specific individuals, particularly those named Wendy and Tina

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dinand
    -1.03
    VERTISEMENT
    -0.87
    ertodd
    -0.82
    uci
    -0.81
    umenthal
    -0.80
    rawdownloadcloneembedreportprint
    -0.80
    quished
    -0.80
    ports
    -0.75
    vernment
    -0.75
    ushed
    -0.75
    POSITIVE LOGITS
     Wendy
    1.12
    ĸļ
    1.04
     Shack
    0.84
     Tas
    0.79
     Bee
    0.76
    Deal
    0.74
     Bauer
    0.73
    ware
    0.71
     Burger
    0.69
     Fey
    0.69
    Activations Density 0.027%

    No Known Activations