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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. 7-RES-JB
    11. 7817
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to data archiving and configuration status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vaugh
    -0.71
    istani
    -0.59
    FTWARE
    -0.57
    bledon
    -0.55
     pursu
    -0.55
    avorite
    -0.55
     Koz
    -0.55
     paramilitary
    -0.54
     hump
    -0.53
    Sov
    -0.53
    POSITIVE LOGITS
    malink
    0.75
    tesy
    0.65
    inates
    0.64
    otes
    0.63
    ouses
    0.60
    oshi
    0.59
    aves
    0.59
    cludes
    0.59
     partName
    0.59
    =\"
    0.59
    Activations Density 0.451%

    No Known Activations