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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. 8-RES-JB
    11. 12615
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    INDEX
    Explanations

    phrases related to making requests or demands

    oai_token-act-pair · gpt-3.5-turbo

    requests or instances of asking for something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥ¬
    -0.72
    ccording
    -0.71
    zinski
    -0.70
    cutting
    -0.66
    rongh
    -0.65
     Scouting
    -0.65
    luaj
    -0.63
    âĶĢâĶĢ
    -0.62
    edition
    -0.61
    zar
    -0.59
    POSITIVE LOGITS
     questions
    1.11
     rhet
    1.08
     forgiveness
    1.04
     probing
    1.00
    naires
    1.00
     permission
    0.92
     plaint
    0.88
    ingly
    0.86
     pardon
    0.84
    govtrack
    0.83
    Activations Density 0.054%

    No Known Activations