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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. 9-RES-JB
    11. 14841
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    INDEX
    Explanations

    references to military-related terms or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of military entities or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gger
    -0.87
    âĶģ
    -0.84
    DAY
    -0.78
    apest
    -0.76
    nob
    -0.74
    olog
    -0.72
    ayers
    -0.72
    lies
    -0.71
    ï¸
    -0.71
     Seller
    -0.71
    POSITIVE LOGITS
     dictatorship
    1.07
     fatig
    1.05
     commanders
    0.96
     acad
    0.96
     barracks
    0.94
     readiness
    0.93
     personnel
    0.92
     academy
    0.92
     coup
    0.90
     contractor
    0.89
    Activations Density 0.053%

    No Known Activations