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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. 24161
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    Explanations

    mentions of criminal activities and legal procedures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to criminal activities and investigations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    izons
    -0.96
     treasury
    -0.72
     wisely
    -0.70
     calculator
    -0.68
     Treasury
    -0.67
     Nobel
    -0.67
     optim
    -0.67
    isSpecialOrderable
    -0.67
    ellen
    -0.66
     lofty
    -0.65
    POSITIVE LOGITS
     theft
    1.39
     rape
    1.25
     thefts
    1.23
     robbery
    1.17
     vandalism
    1.17
     abuse
    1.16
     kidnapping
    1.15
     burglary
    1.15
     smuggling
    1.13
     crimes
    1.12
    Activations Density 0.629%

    No Known Activations