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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. 6-RES-JB
    6. 12173
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    Explanations

    phrases related to facing challenges or adversities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize resilience or action in challenging situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leground
    -0.75
    arily
    -0.74
    owe
    -0.73
    bind
    -0.73
    iaries
    -0.72
    uristic
    -0.72
    entric
    -0.70
    ially
    -0.70
    chini
    -0.69
    erent
    -0.66
    POSITIVE LOGITS
     adversity
    1.02
     inaction
    0.82
     persecution
    0.81
     tyranny
    0.80
     homelessness
    0.79
     blatant
    0.77
     impending
    0.75
     racism
    0.74
    ãģĻ
    0.73
     starvation
    0.73
    Activations Density 0.069%

    No Known Activations