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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. 812
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    INDEX
    Explanations

    mentions of a specific historical or fictional antagonist

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vilification and references to Lithuania

    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
    soDeliveryDate
    -0.76
    notes
    -0.71
     cropped
    -0.69
    inventoryQuantity
    -0.68
    ADVERTISEMENT
    -0.65
     Reloaded
    -0.65
    apple
    -0.63
    Token
    -0.62
    ricular
    -0.62
    edient
    -0.62
    POSITIVE LOGITS
     Vil
    1.07
    eness
    0.98
     Nadu
    0.90
    е
    0.86
     vil
    0.81
    estones
    0.80
    apo
    0.79
    ibr
    0.78
    eneg
    0.78
    atan
    0.77
    Activations Density 0.021%

    No Known Activations