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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. 24524
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    Explanations

    repeated characters in words

    oai_token-act-pair · gpt-3.5-turbo

    prolonged vowel sounds or repeated letters indicative of emphasis or excitement

    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
     Pav
    -0.78
     Prospect
    -0.70
     Redux
    -0.68
     Pavilion
    -0.67
     Pers
    -0.65
    mark
    -0.63
     pav
    -0.63
    ãĥ´
    -0.63
     Runner
    -0.61
    mere
    -0.61
    POSITIVE LOGITS
    ooo
    1.33
    oooo
    1.11
    aaaa
    1.04
    oooooooo
    1.02
    mmmm
    1.00
    AAA
    0.98
    oooooooooooooooo
    0.98
    AAAA
    0.92
    aaa
    0.91
    oops
    0.90
    Activations Density 0.027%

    No Known Activations