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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. 4-RES-JB
    11. 19559
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    Explanations

    references to military-related entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the Army and its personnel

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

    No Comments

    Negative Logits
    alys
    -0.93
     rumours
    -0.84
    theless
    -0.82
    lihood
    -0.82
    aviour
    -0.79
     Ãĸ
    -0.78
     analys
    -0.76
     whilst
    -0.74
     Guardiola
    -0.74
     Alic
    -0.74
    POSITIVE LOGITS
     Veterans
    0.95
     Appropriations
    0.93
     Veteran
    0.88
     brass
    0.87
     Corps
    0.87
     Reserve
    0.86
     enlisted
    0.85
    adelphia
    0.84
     contractor
    0.84
     Memorial
    0.83
    Activations Density 0.104%

    No Known Activations