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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the word "Howard"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Howard."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrim
    -0.73
    igers
    -0.72
    asus
    -0.71
    atoon
    -0.68
    erala
    -0.67
     circulate
    -0.67
    ffic
    -0.67
     propagate
    -0.66
    ilers
    -0.66
    eds
    -0.65
    POSITIVE LOGITS
     Howard
    1.19
     Stern
    1.09
    Howard
    0.94
     Ellis
    0.92
     Faul
    0.80
     Schultz
    0.78
     Dean
    0.78
     Leonard
    0.78
     Hughes
    0.78
     Webb
    0.77
    Activations Density 0.008%

    No Known Activations