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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. 9869
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    Explanations

    governmental organizations and offices

    oai_token-act-pair · gpt-3.5-turbo

    references to federal agencies and their various offices

    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
    ashtra
    -1.11
     goats
    -0.77
     dogs
    -0.71
    otaur
    -0.71
     jars
    -0.71
     verses
    -0.70
     pige
    -0.69
     breeds
    -0.66
     fractured
    -0.66
    antine
    -0.65
    POSITIVE LOGITS
     Strategic
    0.96
     Management
    0.87
     Budget
    0.85
     Compliance
    0.85
     Personnel
    0.85
     Communications
    0.82
     Naval
    0.80
     Inspector
    0.77
    CLASSIFIED
    0.76
     Assets
    0.75
    Activations Density 0.051%

    No Known Activations