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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. 20166
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    Explanations

    names or words containing the substring "azz"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "azz," suggesting a focus on a specific name or term associated with a significant subject or theme

    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
     Towns
    -0.73
     erect
    -0.65
     attest
    -0.64
     shortest
    -0.63
     testosterone
    -0.62
    ACTED
    -0.61
     toll
    -0.61
     fertility
    -0.60
     captcha
    -0.60
     hesitate
    -0.60
    POSITIVE LOGITS
    azz
    1.49
    hou
    1.04
    Berry
    0.99
    etta
    0.94
    erella
    0.94
    agne
    0.94
    arella
    0.90
    quet
    0.89
    ione
    0.89
    zz
    0.88
    Activations Density 0.008%

    No Known Activations