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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. 5-RES-JB
    6. 21920
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    INDEX
    Explanations

    prepositional phrases describing downward movement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    replace
    -0.72
    thood
    -0.70
    qt
    -0.70
    craft
    -0.67
    anan
    -0.66
    mate
    -0.64
     namely
    -0.63
    SPONSORED
    -0.62
    cé
    -0.60
    taker
    -0.60
    POSITIVE LOGITS
     entire
    1.32
     remainder
    1.18
     proverbial
    1.13
     whole
    1.11
     entirety
    1.08
     same
    1.07
     fastest
    1.02
     hardest
    1.02
     slightest
    0.98
     smallest
    0.97
    Activations Density 0.416%

    No Known Activations