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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. 11-RES-JB
    11. 5635
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    Explanations

    phrases related to tasks, locations, and objects in crime scenes

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terminology related to law enforcement and investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intuitive
    -0.81
    eness
    -0.74
     uniquely
    -0.74
    vant
    -0.73
     surpassed
    -0.72
    emin
    -0.71
    Simply
    -0.70
     ç¥ŀ
    -0.70
    parable
    -0.70
     profoundly
    -0.70
    POSITIVE LOGITS
     SWAT
    1.10
     demolition
    1.09
     interrogation
    1.09
     looting
    1.03
     burgl
    1.03
     burglary
    1.02
     robberies
    1.01
     Militia
    1.01
     robbery
    1.00
     curfew
    0.99
    Activations Density 0.635%

    No Known Activations