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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
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    Explanations

    the word "lake" at different activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lakes

    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
    ulate
    -0.76
    nir
    -0.70
    AAAAAAAA
    -0.69
     Matter
    -0.68
    edy
    -0.68
    ulates
    -0.67
    ulously
    -0.65
    Interstitial
    -0.65
    endiary
    -0.63
     Reich
    -0.62
    POSITIVE LOGITS
     lake
    1.34
     lakes
    1.05
     trout
    1.03
    front
    1.01
     basin
    1.00
     Erie
    0.98
     reservoir
    0.90
     Lake
    0.85
    Lake
    0.83
     valley
    0.81
    Activations Density 0.005%

    No Known Activations