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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. 3-RES-JB
    11. 11346
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    Explanations

    references to refugee camps or similar crowded living areas under difficult conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of camps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.71
    ---------------
    -0.66
    rious
    -0.66
    piring
    -0.64
    theless
    -0.63
    thy
    -0.62
    driving
    -0.61
    lihood
    -0.61
    Luck
    -0.61
    Dri
    -0.61
    POSITIVE LOGITS
    camp
    1.04
    ground
    1.01
     camp
    1.00
    fires
    1.00
    fire
    0.95
     camps
    0.93
    itory
    0.91
    hor
    0.90
    grounds
    0.89
     encamp
    0.87
    Activations Density 0.013%

    No Known Activations