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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. 22969
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    Explanations

    mentions of news conferences announcing deaths, particularly in accidents or violent incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to confirmed deaths in news contexts

    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
    TPP
    -0.82
     stagnation
    -0.66
    Brexit
    -0.64
    lust
    -0.62
     neocons
    -0.62
    oliberal
    -0.62
     incumb
    -0.61
     stagn
    -0.61
     ferment
    -0.60
    NetMessage
    -0.59
    POSITIVE LOGITS
     coroner
    1.04
     police
    1.02
     prosecutor
    1.01
     eyewitness
    1.01
    police
    0.99
     Forensic
    0.94
     Police
    0.94
    Police
    0.93
     paramedics
    0.93
     detectives
    0.91
    Activations Density 0.989%

    No Known Activations