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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

    mentions of specific types of food items, especially ingredients in recipes like cauliflower, hazelnuts, almonds, and acne-triggering items like almond milk and coconut milk

    oai_token-act-pair · gpt-3.5-turbo

    food-related terms and references

    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
    Pool
    -0.71
    gencies
    -0.69
    phans
    -0.69
     Bastard
    -0.69
    DragonMagazine
    -0.68
    vernment
    -0.68
    iosyncr
    -0.64
    ourke
    -0.64
     Polic
    -0.64
     Traff
    -0.62
    POSITIVE LOGITS
    iflower
    1.60
     caul
    1.32
    enium
    0.95
    nut
    0.91
    uates
    0.82
    nuts
    0.82
    opathy
    0.79
    akra
    0.78
    izabeth
    0.74
    icter
    0.72
    Activations Density 0.020%

    No Known Activations