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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. 16936
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    Explanations

    words related to challenges or conflicts that individuals or entities are facing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to challenges or difficulties faced by individuals or entities

    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
    aku
    -0.71
     entit
    -0.67
    edy
    -0.64
    debug
    -0.63
    raq
    -0.63
    ato
    -0.62
    rom
    -0.61
    (&
    -0.60
    iazep
    -0.59
    enable
    -0.58
    POSITIVE LOGITS
     uphill
    1.08
     adversity
    0.99
     extinction
    0.95
     stiff
    0.84
     starvation
    0.84
     daunting
    0.84
     annihilation
    0.83
     embarrassment
    0.81
     foreclosure
    0.81
     scrutiny
    0.79
    Activations Density 0.037%

    No Known Activations