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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. 8160
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    INDEX
    Explanations

    financial and health-related terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    statements related to satisfaction and health attitudes

    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
    çīĪ
    -0.66
    çͰ
    -0.63
    BSD
    -0.62
    ]).
    -0.61
     Bullets
    -0.60
    Legendary
    -0.59
    soDeliveryDate
    -0.58
     ?)
    -0.57
    NES
    -0.57
     Collider
    -0.57
    POSITIVE LOGITS
     themselves
    0.70
     healthier
    0.70
     careg
    0.70
     their
    0.69
     caregivers
    0.68
     lifestyles
    0.59
     biologically
    0.59
     unwanted
    0.59
     stereotypical
    0.59
    their
    0.57
    Activations Density 1.661%

    No Known Activations