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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. 1-RES-JB
    11. 13239
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    Explanations

    phrases with the word "bled" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    variations of the words "bled" and "bling" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ostics
    -0.76
     Proposition
    -0.68
    etics
    -0.63
    URA
    -0.62
    ammad
    -0.60
     Detect
    -0.60
    oras
    -0.60
     Limits
    -0.59
    ellar
    -0.58
    onomic
    -0.58
    POSITIVE LOGITS
    bles
    1.48
    bling
    1.48
    bled
    1.45
    kered
    1.05
    theless
    1.04
    ble
    1.02
    bly
    0.99
    vous
    0.95
    terness
    0.89
    BLE
    0.85
    Activations Density 0.009%

    No Known Activations