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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. 9-RES-JB
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    Explanations

    mentions of the word "Mun" in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Mun" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ylum
    -0.74
     Eternity
    -0.63
     Neptune
    -0.60
     Primordial
    -0.60
    opher
    -0.60
     Ange
    -0.58
     Medieval
    -0.58
     juveniles
    -0.56
     Jonah
    -0.56
     Piercing
    -0.55
    POSITIVE LOGITS
    ificent
    1.29
    roe
    1.17
    nel
    1.03
    icip
    1.01
    ster
    1.01
    geon
    1.00
    itions
    1.00
    icol
    0.97
    sters
    0.91
    awar
    0.91
    Activations Density 0.043%

    No Known Activations