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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 8205
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    INDEX
    Explanations

    quantitative comparisons indicating a decrease in amount

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fewer."

    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
    Draft
    -0.88
    Mut
    -0.74
    MO
    -0.73
    Pros
    -0.69
    Fight
    -0.69
     Immun
    -0.68
    MD
    -0.67
    ramid
    -0.67
    omnia
    -0.66
    kamp
    -0.66
    POSITIVE LOGITS
     than
    1.31
    than
    0.90
     Than
    0.83
     "$:/
    0.80
     digits
    0.77
     stringent
    0.75
     manageable
    0.74
     pesky
    0.73
     frequent
    0.73
     restrictive
    0.71
    Activations Density 0.011%

    No Known Activations