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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. 18064
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    Explanations

    phrases related to criminal activities and interactions with the police

    oai_token-act-pair · gpt-3.5-turbo

    specific incidents related to crime or suspicious activity

    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
     UNESCO
    -0.88
     exile
    -0.85
     Tolkien
    -0.83
     honoured
    -0.82
    bats
    -0.78
     trillions
    -0.77
    BBC
    -0.76
     exiled
    -0.75
     Nasa
    -0.74
     Nobel
    -0.74
    POSITIVE LOGITS
     Chevrolet
    0.88
     burglary
    0.83
     occupants
    0.82
     SUV
    0.82
     occupant
    0.81
    ominium
    0.80
     sedan
    0.80
    APD
    0.79
     Parking
    0.78
     Interstate
    0.77
    Activations Density 0.872%

    No Known Activations