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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. 8663
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    Explanations

    law enforcement-related personnel and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement personnel and agencies

    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
    ãĤ¤ãĥĪ
    -0.73
    åĮ
    -0.71
    ABLE
    -0.69
    gets
    -0.68
    Py
    -0.68
    Translation
    -0.67
    à¤
    -0.66
    Winner
    -0.66
    ;;;;;;;;;;;;
    -0.66
    isSpecialOrderable
    -0.65
    POSITIVE LOGITS
     raided
    1.30
     stationed
    1.24
     patrolling
    1.14
     dispatched
    1.14
     intercepted
    1.10
     searched
    1.09
     investigating
    1.07
     probing
    1.06
     confiscated
    1.04
     intervened
    1.04
    Activations Density 0.221%

    No Known Activations