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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. 0-RES-JB
    11. 20240
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    Explanations

    proper nouns, particularly names of specific places and individuals

    oai_token-act-pair · gpt-3.5-turbo

    names related to historical figures and places

    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
    hetto
    -0.88
    pace
    -0.77
     Minotaur
    -0.75
    pread
    -0.74
    paces
    -0.73
     Rasm
    -0.70
     scen
    -0.70
    ĸļ
    -0.69
     Stard
    -0.68
    ãĤ¨ãĥ«
    -0.68
    POSITIVE LOGITS
     Bent
    2.01
     Jaw
    1.45
     Hume
    1.38
    akia
    1.38
    eely
    1.32
     Kant
    1.20
     Dawson
    1.14
    aye
    1.12
     Agu
    1.09
     narrowly
    1.01
    Activations Density 0.061%

    No Known Activations