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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. 19757
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    Explanations

    descriptions of criminal activities and incidents

    oai_token-act-pair · gpt-3.5-turbo

    actions related to criminal activities and events

    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
     optim
    -0.78
     UNESCO
    -0.73
    optim
    -0.73
    ãĤ´ãĥ³
    -0.68
    isSpecialOrderable
    -0.64
     resolutions
    -0.62
     dividends
    -0.62
     billions
    -0.60
     trillions
    -0.59
     aster
    -0.58
    POSITIVE LOGITS
     deputies
    1.04
    Officers
    1.03
    Police
    1.02
     robbery
    1.00
     burglary
    1.00
     police
    0.98
     altercation
    0.98
     officers
    0.97
    police
    0.97
     burgl
    0.96
    Activations Density 1.020%

    No Known Activations