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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. 9860
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    Explanations

    phrases related to rules, instructions, and constraints

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to rules or restrictions in various contexts

    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
     Canaver
    -0.72
     Ampl
    -0.69
     fragment
    -0.67
    isSpecialOrderable
    -0.66
    canon
    -0.65
    FK
    -0.64
     ATK
    -0.62
     coales
    -0.61
     Billion
    -0.59
     genomic
    -0.59
    POSITIVE LOGITS
     meals
    1.11
     beds
    1.10
     picnic
    1.00
     supper
    0.99
     sleeping
    0.98
     babys
    0.96
     meal
    0.95
     toile
    0.94
     todd
    0.94
     snacks
    0.94
    Activations Density 1.370%

    No Known Activations