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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. 13585
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    Explanations

    proper nouns related to entertainment or individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals with the last name "Ware" and related terms

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inous
    -0.75
    idity
    -0.67
    cius
    -0.65
    ilib
    -0.64
     pedest
    -0.64
    inosaur
    -0.63
    ency
    -0.62
     Cage
    -0.61
    ine
    -0.61
    adal
    -0.61
    POSITIVE LOGITS
    housing
    0.90
    fare
    0.73
    houses
    0.72
    eful
    0.71
    neau
    0.71
    ¯¯¯¯
    0.69
    leneck
    0.69
    STON
    0.68
    letters
    0.67
    terson
    0.67
    Activations Density 0.027%

    No Known Activations