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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. 18851
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    Explanations

    references related to military personnel and activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the military and armed forces

    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
    alys
    -0.80
    theless
    -0.79
    atron
    -0.68
    iru
    -0.68
     Alic
    -0.67
    pert
    -0.66
    hots
    -0.66
     constitu
    -0.65
    arb
    -0.65
     Beir
    -0.65
    POSITIVE LOGITS
     Veterans
    1.08
     Veteran
    1.00
     Corps
    0.96
     servic
    0.95
     veterans
    0.92
     Personnel
    0.92
     fatig
    0.91
     SEAL
    0.90
     Reserve
    0.89
     Academy
    0.89
    Activations Density 0.105%

    No Known Activations