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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. 10169
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    INDEX
    Explanations

    keywords associated with the effects of actions on health or well-being

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the positive and negative impacts on health and well-being

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    buck
    -0.81
    cled
    -0.77
    ailable
    -0.77
    illon
    -0.74
    ¤
    -0.69
    Hide
    -0.68
    fund
    -0.67
    etter
    -0.67
    gs
    -0.66
    cling
    -0.66
    POSITIVE LOGITS
     effects
    1.14
     consequences
    0.99
     outcomes
    0.94
     effect
    0.94
     impacts
    0.91
     influences
    0.88
     Effects
    0.88
     affects
    0.88
    effects
    0.86
     outcome
    0.85
    Activations Density 0.101%

    No Known Activations