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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. 4944
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    Explanations

    mentions of troop presence or related military activities

    oai_token-act-pair · gpt-3.5-turbo

    references to military troops and their deployment

    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
    ãĤ¦ãĤ¹
    -0.81
    Consumer
    -0.78
    theless
    -0.67
    Reason
    -0.66
    ebted
    -0.66
    MAL
    -0.65
     Shirley
    -0.64
     appell
    -0.63
    Diamond
    -0.62
    âĸ¬
    -0.62
    POSITIVE LOGITS
     stationed
    1.65
     garrison
    1.24
     deployed
    1.21
     patrolling
    1.21
     troops
    1.09
     patrols
    1.05
     troop
    1.03
     deployments
    1.02
     marching
    1.02
     occupying
    0.99
    Activations Density 0.093%

    No Known Activations