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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. 2-RES-JB
    11. 11887
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    Explanations

    adjectives related to textures, especially emphasizing creaminess and fluffiness

    oai_token-act-pair · gpt-3.5-turbo

    descriptive terms related to texture and consistency of food

    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
    quest
    -0.81
    gob
    -0.81
    hart
    -0.80
    aign
    -0.79
    camp
    -0.75
    hole
    -0.75
    heimer
    -0.74
    inet
    -0.74
    VPN
    -0.73
    went
    -0.73
    POSITIVE LOGITS
     oily
    0.87
     fluffy
    0.86
     sticky
    0.81
     opaque
    0.80
     lipid
    0.80
     creamy
    0.80
     white
    0.80
     moist
    0.79
     organic
    0.79
     wet
    0.77
    Activations Density 0.027%

    No Known Activations