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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. 0-RES-JB
    6. 9010
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    Explanations

    mentions of specific camps, likely related to refugees or detainment

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of camps, particularly refugee and detention camps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ruler
    -0.71
    ibe
    -0.68
     reprint
    -0.62
    ķ
    -0.61
     RELEASE
    -0.60
    mbol
    -0.59
     Shape
    -0.59
    mary
    -0.57
     aver
    -0.57
    phone
    -0.57
    POSITIVE LOGITS
     camps
    4.11
     camp
    2.84
    camp
    2.00
     Camp
    1.90
     encamp
    1.85
     tents
    1.76
    Camp
    1.75
     camping
    1.52
     tent
    1.21
     trenches
    1.17
    Activations Density 0.013%

    No Known Activations