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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5895
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    Explanations

    mentions of aid-related terms such as "aid groups," "aid workers," and "aid organizations."

    oai_token-act-pair · gpt-3.5-turbo

    references to humanitarian aid and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beard
    -0.96
    âĸ¬
    -0.82
    beard
    -0.76
     Bellev
    -0.70
     hairs
    -0.70
    nen
    -0.68
    Face
    -0.66
    juries
    -0.65
     repet
    -0.65
     Athletic
    -0.65
    POSITIVE LOGITS
     aid
    1.06
     treaty
    0.94
     embargo
    0.91
     treaties
    0.88
     convoy
    0.87
    giving
    0.84
     flows
    0.83
     supplies
    0.82
     agencies
    0.81
     shipments
    0.80
    Activations Density 0.036%

    No Known Activations