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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. 1-RES-JB
    11. 11247
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    Explanations

    phrases related to patrolling or being on patrol

    oai_token-act-pair · gpt-3.5-turbo

    references to patrol operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.81
    quickShipAvailable
    -0.74
    mort
    -0.71
    Wr
    -0.69
    omes
    -0.68
    WE
    -0.67
    given
    -0.65
    ubuntu
    -0.65
    ibal
    -0.64
    ðĿ
    -0.64
    POSITIVE LOGITS
     patrol
    1.32
     patrols
    1.18
     Patrol
    1.17
     patrolling
    1.02
    andowski
    0.91
     trooper
    0.79
     Officers
    0.78
     duty
    0.74
     troopers
    0.73
     outpost
    0.73
    Activations Density 0.011%

    No Known Activations