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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. 14318
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    Explanations

    references to specific concepts or issues mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to specific concepts or items indicated by the word "these."

    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
    achus
    -0.92
    ppe
    -0.77
    osate
    -0.76
    onis
    -0.76
    wife
    -0.74
    opus
    -0.73
    ume
    -0.72
    mire
    -0.72
    terness
    -0.71
    fecture
    -0.71
    POSITIVE LOGITS
     kinds
    1.35
     sorts
    1.29
     types
    1.14
     developments
    0.98
     proceedings
    0.97
     shores
    0.97
     truths
    0.92
     situations
    0.92
     facts
    0.91
     guys
    0.90
    Activations Density 0.115%

    No Known Activations