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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. 12094
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    Explanations

    phrases related to formal events like weddings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "nu"

    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
     Cosponsors
    -0.78
    xual
    -0.75
    Edited
    -0.72
     Crus
    -0.68
    */(
    -0.68
     Journals
    -0.66
     Parables
    -0.65
     Interpret
    -0.64
    Reviewed
    -0.64
    anooga
    -0.63
    POSITIVE LOGITS
    isance
    1.30
    anced
    1.00
    endo
    0.98
    pert
    0.86
    iture
    0.86
    ples
    0.85
    ptions
    0.85
     nu
    0.85
    estro
    0.84
    ulously
    0.84
    Activations Density 0.013%

    No Known Activations