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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. 11-RES-JB
    11. 3346
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    Explanations

    phrases related to criminal acts involving harm or death to individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to murders and killings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -1.03
    por
    -0.78
     reimb
    -0.77
    catentry
    -0.76
    dding
    -0.74
    iasm
    -0.74
    ocating
    -0.69
    direction
    -0.69
    wcsstore
    -0.69
    à¼
    -0.67
    POSITIVE LOGITS
     unarmed
    1.14
     innoc
    1.06
     innocent
    1.03
     Trayvon
    1.01
     Cecil
    0.94
     Osama
    0.92
     unborn
    0.90
     Freddie
    0.88
     168
    0.88
     hostages
    0.86
    Activations Density 0.141%

    No Known Activations