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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. 7-RES-JB
    6. 3739
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    Explanations

    mentions of creating or working with 3D models or miniatures

    oai_token-act-pair · gpt-3.5-turbo

    references to digital or physical models and replicas

    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
    orious
    -0.86
    nuts
    -0.78
    Recommend
    -0.77
    cially
    -0.77
    gencies
    -0.75
    acia
    -0.74
     econom
    -0.74
    Issue
    -0.73
    ctr
    -0.73
    Timeout
    -0.72
    POSITIVE LOGITS
     likeness
    1.37
     replica
    1.12
     portraits
    1.08
     humanoid
    1.04
     miniature
    1.03
     doll
    1.00
     mock
    0.99
     representations
    0.98
     sculpture
    0.98
     sculptures
    0.97
    Activations Density 0.236%

    No Known Activations