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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. 2-RES-JB
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    INDEX
    Explanations

    locations or places where people are stationed

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military or law enforcement presence and deployment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -1.00
    rule
    -0.77
    Eth
    -0.77
    sen
    -0.75
     Laksh
    -0.72
    displayText
    -0.72
    Reason
    -0.71
    Mos
    -0.71
    Sport
    -0.71
    Lear
    -0.69
    POSITIVE LOGITS
     stationed
    1.36
     garrison
    0.96
     veter
    0.87
     oun
    0.84
     orbiting
    0.80
    ilitary
    0.79
     guarding
    0.79
    atoon
    0.77
     teasp
    0.76
     patrolling
    0.76
    Activations Density 0.011%

    No Known Activations