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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

    the surname "Hunt" combined with various other words and contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Hunt."

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Downloadha
    -0.82
    umbn
    -0.80
     Seym
    -0.73
    sembly
    -0.69
    uyomi
    -0.69
    ocard
    -0.68
    optional
    -0.66
    farious
    -0.65
    graded
    -0.64
    eatured
    -0.63
    POSITIVE LOGITS
     Hunt
    1.08
    ley
    0.99
    hunt
    0.95
    resses
    0.86
    Hunt
    0.85
    ress
    0.84
    leigh
    0.82
     hunts
    0.81
    mong
    0.80
    leys
    0.80
    Activations Density 0.008%

    No Known Activations