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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. 16169
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    Explanations

    phrases related to making statements or asking questions

    oai_token-act-pair · gpt-3.5-turbo

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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 @ 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
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    No Comments

    Negative Logits
     me
    -0.96
    herry
    -0.67
    ranged
    -0.64
    ikuman
    -0.63
    ringe
    -0.63
    alli
    -0.63
     exting
    -0.63
     Me
    -0.62
    ONSORED
    -0.59
     ME
    -0.59
    POSITIVE LOGITS
     ourselves
    2.02
     our
    1.28
     OUR
    1.00
     ours
    0.85
     Our
    0.82
    Our
    0.79
     THEM
    0.75
     them
    0.75
     thee
    0.72
    peak
    0.63
    Activations Density 0.572%

    No Known Activations