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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. 21485
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    Explanations

    specific numbers of people involved in violent or harmful acts

    oai_token-act-pair · gpt-3.5-turbo

    references to violent incidents involving multiple victims

    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
    Completed
    -0.71
    çļ
    -0.69
    idth
    -0.69
     cancell
    -0.68
    200000
    -0.67
    CLASS
    -0.67
    Sense
    -0.64
    inventoryQuantity
    -0.64
     IDE
    -0.64
    ventures
    -0.63
    POSITIVE LOGITS
     unarmed
    0.98
     senseless
    0.86
     fleeing
    0.81
    soever
    0.80
     innocent
    0.78
     unlawfully
    0.76
     assailant
    0.76
     abuser
    0.74
     aged
    0.74
     wounding
    0.71
    Activations Density 0.284%

    No Known Activations