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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. 22709
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    Explanations

    phrases where the speaker is making comparisons or expressing preferences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference people, typically in the context of comparison or analogy

    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
    Not in Any Lists

    No Comments

    Negative Logits
    arbon
    -0.87
    EStreamFrame
    -0.77
     proport
    -0.75
    VERTISEMENT
    -0.72
    ccording
    -0.71
    ilion
    -0.69
     undermin
    -0.67
     exting
    -0.67
    aptic
    -0.67
     conclud
    -0.67
    POSITIVE LOGITS
     myself
    1.21
    lihood
    1.12
     ours
    1.07
     yours
    1.06
     hers
    0.97
     Pamela
    0.97
    lier
    0.96
     Mike
    0.87
     Philippe
    0.87
     ourselves
    0.87
    Activations Density 0.081%

    No Known Activations