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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. 3-RES-JB
    11. 24076
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    Explanations

    phrases related to law enforcement or police actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to policing and law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.93
    xual
    -0.84
    swer
    -0.80
    igible
    -0.77
    hof
    -0.77
    ndra
    -0.77
    ļéĨĴ
    -0.75
    uces
    -0.74
    arios
    -0.74
    arial
    -0.74
    POSITIVE LOGITS
     brutality
    0.93
     departments
    0.93
     acad
    0.89
     academy
    0.86
     officers
    0.86
     officer
    0.79
     Officers
    0.77
     blot
    0.76
     commissioner
    0.75
     Accountability
    0.72
    Activations Density 0.047%

    No Known Activations