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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. 4-RES-JB
    11. 7623
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    Explanations

    mentions of vegetables

    oai_token-act-pair · gpt-3.5-turbo

    references to vegetables

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

    No Comments

    Negative Logits
    ORN
    -0.78
    interstitial
    -0.76
    oning
    -0.75
    administ
    -0.75
    dinand
    -0.71
    elected
    -0.71
    DOS
    -0.71
    raped
    -0.70
    office
    -0.69
    raints
    -0.68
    POSITIVE LOGITS
     vegetables
    1.04
     vegetable
    0.94
     soup
    0.92
     garden
    0.88
     veggies
    0.86
     juice
    0.84
     peel
    0.84
     Soup
    0.83
     salad
    0.82
     spinach
    0.82
    Activations Density 0.014%

    No Known Activations