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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. 0-RES-JB
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    Explanations

    keywords related to law enforcement such as 'Officers' and activities like '?'

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement officers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udi
    -0.64
     doom
    -0.64
    af
    -0.63
     fal
    -0.60
    iem
    -0.59
    eva
    -0.58
     flaw
    -0.58
    yan
    -0.58
     critic
    -0.58
     win
    -0.58
    POSITIVE LOGITS
    Officers
    3.13
     Officers
    2.36
    Offic
    1.38
     Officer
    1.22
     officers
    1.18
     Agents
    1.10
    Council
    1.07
    Investigators
    1.01
    arters
    0.98
    Engineers
    0.98
    Activations Density 0.032%

    No Known Activations