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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. 22963
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    Explanations

    references to time and dates

    oai_token-act-pair · gpt-3.5-turbo

    references to specific holidays or celebrations

    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
     acad
    -0.67
     specializing
    -0.64
     organization
    -0.63
     specializes
    -0.62
     protocols
    -0.61
     protocol
    -0.61
     instit
    -0.61
     centralized
    -0.60
     apparatus
    -0.60
     appoint
    -0.60
    POSITIVE LOGITS
    oola
    0.74
    ickets
    0.66
    culosis
    0.65
    etheless
    0.65
    abies
    0.63
    oÄŁ
    0.62
    oppers
    0.62
     sooner
    0.61
    lez
    0.61
     happier
    0.60
    Activations Density 1.374%

    No Known Activations