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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. 4-RES-JB
    11. 20063
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    Explanations

    names, particularly "Patton", with varying levels of activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Patton" and related terms

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

    No Comments

    Negative Logits
    allo
    -0.74
    oat
    -0.73
    ILY
    -0.73
    ways
    -0.73
    ©¶æ¥µ
    -0.73
    Sexual
    -0.72
     coefficient
    -0.72
    hub
    -0.71
    way
    -0.68
    ware
    -0.67
    POSITIVE LOGITS
     Osw
    1.03
    terday
    1.03
     Patton
    0.92
    berra
    0.83
    vironment
    0.76
    sov
    0.74
    olini
    0.74
     AFB
    0.73
    ewitness
    0.71
    atton
    0.71
    Activations Density 0.042%

    No Known Activations