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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. 9-RES-JB
    11. 13155
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    Explanations

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hold
    -0.97
    horn
    -0.72
    lets
    -0.69
    volent
    -0.68
    hot
    -0.67
    pton
    -0.66
    quez
    -0.66
    train
    -0.65
    ously
    -0.65
    ulative
    -0.64
    POSITIVE LOGITS
    ypes
    1.21
    ARGET
    1.12
    OWN
    1.08
    IM
    1.04
    TY
    1.04
    TI
    1.04
    ECH
    1.04
    olkien
    1.00
    ICLE
    0.99
    IP
    0.98
    Activations Density 0.081%

    No Known Activations