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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. 31
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    INDEX
    Explanations

    locations and details related to deaths or tragic events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to death and mortality

    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
     coupon
    -0.79
    iggurat
    -0.71
     worthwhile
    -0.71
     challeng
    -0.68
    zik
    -0.67
    hops
    -0.67
     advant
    -0.66
     caveat
    -0.66
     structured
    -0.66
    idth
    -0.66
    POSITIVE LOGITS
    Doctors
    1.37
     autopsy
    1.33
     coroner
    1.27
     Forensic
    1.26
     Doctors
    1.25
    His
    1.25
    Investigators
    1.17
     Authorities
    1.16
     Witnesses
    1.13
     Investigators
    1.12
    Activations Density 0.443%

    No Known Activations