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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 126
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement and its agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cair
    -0.81
    urn
    -0.80
    yip
    -0.80
    thur
    -0.78
    puter
    -0.76
    onement
    -0.75
    ertility
    -0.75
    odor
    -0.74
    opian
    -0.74
     Remastered
    -0.74
    POSITIVE LOGITS
     agencies
    1.60
     officers
    1.41
     personnel
    1.28
     officer
    1.26
     officials
    1.24
     agency
    1.21
     authorities
    1.13
     agents
    1.11
     departments
    1.10
     Officers
    1.09
    Activations Density 0.062%

    No Known Activations