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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. 15647
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    Explanations

    mentions of the word "roulette" with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to roulette

    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
    ORE
    -0.84
    itutional
    -0.77
    ULT
    -0.74
     Pilgrim
    -0.70
    Constructed
    -0.70
    ISION
    -0.66
    ISSION
    -0.65
    apsed
    -0.65
    uality
    -0.64
    è¦ļéĨĴ
    -0.64
    POSITIVE LOGITS
    lette
    1.13
     rou
    1.10
    pton
    0.88
    bles
    0.87
    gue
    0.87
    plet
    0.86
     boun
    0.85
    bled
    0.85
    chet
    0.84
    gey
    0.81
    Activations Density 0.005%

    No Known Activations