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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. 3584
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    Explanations

    references to the word "rum" at various strengths

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "rum."

    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
    lihood
    -0.85
     Parenthood
    -0.84
    KI
    -0.65
     Shades
    -0.64
     Kut
    -0.61
     Wildcats
    -0.61
     Egyptians
    -0.61
     Stafford
    -0.61
     Cancel
    -0.61
    Merit
    -0.60
    POSITIVE LOGITS
    inating
    1.01
     rum
    1.00
    oured
    0.99
    ble
    0.98
    atis
    0.93
    pled
    0.91
    rum
    0.85
    inally
    0.84
    inate
    0.83
    ination
    0.83
    Activations Density 0.009%

    No Known Activations