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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. 4-RES-JB
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    Explanations

    references to tragic events involving loss of life

    oai_token-act-pair · gpt-3.5-turbo

    references to violent events, specifically massacres

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

    No Comments

    Negative Logits
    aque
    -0.70
    uana
    -0.70
    BuyableInstoreAndOnline
    -0.69
    balance
    -0.68
    ether
    -0.66
    Medium
    -0.66
    ibble
    -0.65
    Cola
    -0.65
    Dub
    -0.64
    regulated
    -0.64
    POSITIVE LOGITS
     Massacre
    1.08
     spree
    1.02
     massac
    0.99
     massacre
    0.97
     massacres
    0.96
    quished
    0.87
     shootings
    0.84
     rampage
    0.82
     killings
    0.82
     Hebdo
    0.79
    Activations Density 0.020%

    No Known Activations