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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. 3-RES-JB
    11. 8291
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    Explanations

    phrases related to the effects of various factors on different aspects of health and well-being

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the effects of various factors on health and well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vision
    -0.77
     CFL
    -0.71
    Plot
    -0.69
    mint
    -0.67
    nic
    -0.63
    SEC
    -0.62
    udeau
    -0.61
    dimension
    -0.61
    ISH
    -0.61
    OWN
    -0.60
    POSITIVE LOGITS
    effects
    1.17
    iveness
    1.09
     impacts
    0.94
     havoc
    0.89
     effects
    0.84
     impact
    0.84
     consequences
    0.83
    bringer
    0.82
     harms
    0.81
    Effects
    0.80
    Activations Density 0.061%

    No Known Activations