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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
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    Explanations

    names containing the sequence "augh"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "augh" and its variations, suggesting a focus on laughter or reactions associated with humor

    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
     condensed
    -0.66
    oted
    -0.65
     deck
    -0.64
     burg
    -0.64
    Winged
    -0.63
    pocket
    -0.62
     compartment
    -0.61
     breach
    -0.60
     distinction
    -0.59
    eled
    -0.58
    POSITIVE LOGITS
    augh
    1.04
    sburg
    0.93
    terness
    0.90
    ////////
    0.88
    rency
    0.88
    uay
    0.88
    abilia
    0.86
    ments
    0.85
    istas
    0.84
    ing
    0.82
    Activations Density 0.008%

    No Known Activations