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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19711
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    Explanations

    references to law enforcement activities such as raids and police action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "raid" and its variations

    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
    å¦
    -0.72
    Perfect
    -0.67
     Elev
    -0.62
    DonaldTrump
    -0.62
     partName
    -0.61
     Genie
    -0.61
    conservancy
    -0.60
     Leilan
    -0.60
    pure
    -0.60
     Acad
    -0.60
    POSITIVE LOGITS
     raid
    1.12
     raids
    1.06
     raided
    0.99
    ishly
    0.98
     raiding
    0.95
    Raid
    0.88
    nard
    0.85
    rays
    0.82
     seizure
    0.78
     spree
    0.77
    Activations Density 0.012%

    No Known Activations