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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. 4-RES-JB
    11. 18499
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    Explanations

    proper nouns related to names starting with "Whit"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the root "Whitt" suggesting names or terms associated with a specific individual

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

    No Comments

    Negative Logits
    ĸļ
    -0.89
    ãĤ´
    -0.85
    ãĥ´ãĤ¡
    -0.76
     sugg
    -0.68
    ASED
    -0.68
     unfocusedRange
    -0.67
    BIL
    -0.67
    OTOS
    -0.67
     tradem
    -0.67
    ĸļ士
    -0.67
    POSITIVE LOGITS
    iland
    0.97
    hunt
    0.91
    igans
    0.89
    ewater
    0.89
    ework
    0.84
    ish
    0.81
    manship
    0.81
    igan
    0.81
    grain
    0.80
    terness
    0.80
    Activations Density 0.059%

    No Known Activations