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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. 1-RES-JB
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    Explanations

    terms related to law enforcement and criminal activities, particularly focusing on possession-related offenses

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to possession of controlled substances or weapons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MQ
    -0.69
    çĦ
    -0.67
     Mach
    -0.64
    obe
    -0.62
    OUT
    -0.62
     prevailing
    -0.60
     humanitarian
    -0.60
    å¯
    -0.59
     Ryzen
    -0.59
     subcontract
    -0.58
    POSITIVE LOGITS
     possession
    1.17
    iture
    0.98
    ession
    0.95
    lege
    0.92
    essors
    0.89
    ibility
    0.85
    essions
    0.85
    isance
    0.84
    itures
    0.84
    ãĥĨãĤ£
    0.82
    Activations Density 0.008%

    No Known Activations