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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. 8-RES-JB
    11. 2468
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    INDEX
    Explanations

    phrases related to importance or observation

    oai_token-act-pair · gpt-3.5-turbo

    important concepts and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     workflow
    -0.74
     sabot
    -0.72
     intimid
    -0.68
     stunts
    -0.65
    doors
    -0.63
     stunt
    -0.62
     overboard
    -0.61
     practices
    -0.60
     bottleneck
    -0.60
     coerc
    -0.60
    POSITIVE LOGITS
     remem
    0.96
     recall
    0.93
    remember
    0.92
     recol
    0.91
     infer
    0.90
     recollection
    0.88
     Recall
    0.86
     conjecture
    0.86
     conject
    0.85
     historians
    0.84
    Activations Density 1.122%

    No Known Activations