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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. 7-RES-JB
    11. 5150
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    Explanations

    details related to violent incidents

    oai_token-act-pair · gpt-3.5-turbo

    sentences indicating violent events or fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.93
    wcsstore
    -0.85
    idth
    -0.82
    isphere
    -0.82
     holog
    -0.79
    idon
    -0.77
     bookmark
    -0.76
     monop
    -0.75
     renegoti
    -0.74
     liking
    -0.73
    POSITIVE LOGITS
     Victims
    1.21
     Witnesses
    1.19
     Prosecutors
    1.16
     Survivors
    1.15
     Meanwhile
    1.11
     Afterwards
    1.10
     Charges
    1.07
     Authorities
    1.07
     Investigators
    1.06
     Additionally
    1.06
    Activations Density 0.415%

    No Known Activations