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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. 10-RES-JB
    11. 1224
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    Explanations

    mentions of the store "Whole Foods"

    oai_token-act-pair · gpt-3.5-turbo

    references to whole foods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.65
    rious
    -0.63
    cing
    -0.63
     DRAG
    -0.62
     Sunder
    -0.59
    pmwiki
    -0.58
    interstitial
    -0.57
     destro
    -0.57
    KER
    -0.56
     CoC
    -0.56
    POSITIVE LOGITS
    heartedly
    1.82
    hearted
    1.45
    meal
    1.08
     genome
    0.90
     cloth
    0.84
     hog
    0.83
    cloth
    0.81
     Foods
    0.81
     genomes
    0.80
     wheat
    0.79
    Activations Density 0.029%

    No Known Activations