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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 3525
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    Keywords related to specific events, topics, or entities mentioned in the text

    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 @ 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
     Entered
    -0.70
    ensical
    -0.67
     DUP
    -0.62
     helicop
    -0.62
    bestos
    -0.61
    quickShipAvailable
    -0.60
    Lv
    -0.59
     Hogan
    -0.59
     Hait
    -0.57
     antidepressants
    -0.57
    POSITIVE LOGITS
     itself
    0.82
    reciation
    0.69
    lists
    0.66
    assadors
    0.66
    owners
    0.62
     themselves
    0.60
    wiki
    0.59
    lite
    0.59
    clusion
    0.59
     XT
    0.58
    Activations Density 0.829%

    No Known Activations