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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    references to events involving unarmed individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals being unarmed in the context of violence or police encounters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MER
    -0.84
    Reward
    -0.82
    RAM
    -0.79
    Publisher
    -0.77
    DAY
    -0.74
     Publisher
    -0.73
    Office
    -0.72
    URI
    -0.71
    order
    -0.71
    nosis
    -0.70
    POSITIVE LOGITS
     unarmed
    1.23
     disarm
    0.96
     uprising
    0.89
     bystand
    0.89
     pacif
    0.84
    powder
    0.81
     insurrection
    0.79
     arming
    0.77
    ntil
    0.76
     manslaughter
    0.75
    Activations Density 0.008%

    No Known Activations