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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. 8-RES-JB
    11. 10791
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    Explanations

    references to specific locations or objects within a crime scene investigation

    oai_token-act-pair · gpt-3.5-turbo

    snippets related to violent incidents or injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     favour
    -0.96
     persuasion
    -0.89
     innov
    -0.88
     commissions
    -0.87
     striving
    -0.87
     optim
    -0.85
     dra
    -0.84
     enriched
    -0.83
     fulfil
    -0.82
     aspire
    -0.80
    POSITIVE LOGITS
    Investigators
    1.78
    Authorities
    1.71
    Police
    1.71
    Officers
    1.61
    Officials
    1.50
    According
    1.48
    Anyone
    1.42
    Detect
    1.40
    Witness
    1.40
    Copyright
    1.39
    Activations Density 0.264%

    No Known Activations