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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. 5367
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    INDEX
    Explanations

    prepositions and prepositional phrases indicating location or direction

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and spatial relations in the text

    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
     Vaugh
    -0.76
     thous
    -0.64
     destro
    -0.63
     corrid
    -0.59
     Seym
    -0.59
    farious
    -0.58
     blat
    -0.57
     convol
    -0.55
     disadvant
    -0.55
    jri
    -0.54
    POSITIVE LOGITS
     largeDownload
    0.61
     PsyNet
    0.51
     Overs
    0.50
    \":
    0.50
    ciples
    0.48
     OC
    0.48
     OFFIC
    0.47
     FA
    0.47
     NVIDIA
    0.46
     ..........
    0.46
    Activations Density 1.038%

    No Known Activations