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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. 3-RES-JB
    11. 24048
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    Explanations

    specific words related to academia, like university names and academic terminology

    oai_token-act-pair · gpt-3.5-turbo

    sequences of letters that may be relevant in academic or technical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĵĺ
    -1.00
    jri
    -0.85
     pedest
    -0.71
    ikuman
    -0.71
     heels
    -0.67
     soap
    -0.66
    ailability
    -0.65
     erection
    -0.65
    ipeg
    -0.64
    iage
    -0.64
    POSITIVE LOGITS
    ural
    0.83
    Wan
    0.75
    士
    0.68
    å°Ĩ
    0.67
     guiActiveUn
    0.66
     Strongh
    0.66
    OUS
    0.65
    weekly
    0.65
    etus
    0.63
    Ver
    0.63
    Activations Density 0.680%

    No Known Activations