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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. 11-RES-JB
    11. 13188
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    Explanations

    Italian words

    oai_token-act-pair · gpt-3.5-turbo

    elements related to Italian cuisine or cultural references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.84
    yip
    -0.72
    spin
    -0.69
    dead
    -0.69
    getting
    -0.68
    fully
    -0.68
    ting
    -0.68
    ROR
    -0.67
    sight
    -0.66
    money
    -0.65
    POSITIVE LOGITS
    ennes
    1.15
    è
    1.04
    enda
    1.03
    ère
    1.02
    essen
    1.02
    enges
    0.99
    ert
    0.99
    erto
    0.99
    én
    0.98
    endas
    0.98
    Activations Density 0.077%

    No Known Activations