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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. 8648
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    Explanations

    phrases related to criminal activities and arrests

    oai_token-act-pair · gpt-3.5-turbo

    information related to arrests and criminal charges

    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
     contrace
    -0.92
     sacrific
    -0.83
     greens
    -0.82
     trillions
    -0.81
     billions
    -0.74
     snipp
    -0.74
     millions
    -0.74
     embr
    -0.74
     envy
    -0.71
     Millions
    -0.70
    POSITIVE LOGITS
     suspects
    1.11
     arrested
    1.01
    Charges
    1.01
    arnaev
    1.01
     arrests
    1.01
     Investigators
    1.00
     Arrest
    0.98
     suspect
    0.96
     arra
    0.96
    llah
    0.95
    Activations Density 0.428%

    No Known Activations