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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. 10-RES-JB
    11. 21689
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    Explanations

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of people or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carnage
    -0.69
     Pixie
    -0.69
    Enlarge
    -0.68
     Masquerade
    -0.67
     Somali
    -0.67
    è¦ļéĨĴ
    -0.66
     Metatron
    -0.65
     Mesh
    -0.64
     Goo
    -0.64
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
    POSITIVE LOGITS
    inez
    1.10
    ison
    1.06
    odore
    1.00
    espie
    0.99
    rison
    0.98
    mond
    0.97
    ard
    0.96
    psey
    0.96
    dinand
    0.95
    inson
    0.94
    Activations Density 0.116%

    No Known Activations