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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
    11. 4449
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    Explanations

    information related to criminal activities, specifically incidents of killings

    oai_token-act-pair · gpt-3.5-turbo

    references to acts of killing or murder

    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
    Cola
    -0.94
    Gi
    -0.79
    isse
    -0.75
    acea
    -0.75
    BuyableInstoreAndOnline
    -0.74
    umbn
    -0.72
    fty
    -0.71
    rypt
    -0.69
    ertain
    -0.67
    arthed
    -0.67
    POSITIVE LOGITS
     spree
    1.31
    houses
    0.95
     rampage
    0.85
    house
    0.83
     killings
    0.80
     massac
    0.77
    killing
    0.77
    mails
    0.76
    knife
    0.75
     murdering
    0.74
    Activations Density 0.026%

    No Known Activations