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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. 8608
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    INDEX
    Explanations

    definite articles 'the' that indicate importance or specificity

    oai_token-act-pair · gpt-3.5-turbo

    instances of repetition in phrases or ideas

    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
    Ò
    -0.80
    imi
    -0.76
    ceive
    -0.76
    thood
    -0.75
    arate
    -0.71
    1200
    -0.70
    acho
    -0.69
    aba
    -0.69
    bg
    -0.69
    antes
    -0.68
    POSITIVE LOGITS
     biggest
    1.25
     vast
    1.23
     latter
    1.22
     simplest
    1.22
     slightest
    1.21
     easiest
    1.15
    oret
    1.15
     majority
    1.14
     quickest
    1.12
     greatest
    1.11
    Activations Density 0.587%

    No Known Activations