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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. 3-RES-JB
    11. 20856
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    INDEX
    Explanations

    terms related to policy or governmental decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to government policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    htaking
    -0.83
     Stain
    -0.81
    eneg
    -0.80
     Ago
    -0.76
    apy
    -0.73
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.73
    semble
    -0.73
    lighting
    -0.72
     Mile
    -0.71
    amina
    -0.71
    POSITIVE LOGITS
     policy
    1.11
     policies
    0.99
     prescriptions
    0.98
    policy
    0.97
     makers
    0.91
     stance
    0.90
     formulation
    0.86
    making
    0.86
     enforcement
    0.85
     policymakers
    0.85
    Activations Density 0.023%

    No Known Activations