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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. 1339
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    Explanations

    terms related to the potential negative impacts or consequences of a medical treatment or substance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of side effects and their severity

    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
    swick
    -0.71
    mint
    -0.70
     Patriarch
    -0.68
     Knot
    -0.66
     mant
    -0.65
    nic
    -0.65
    mbuds
    -0.63
    Rail
    -0.62
    gdala
    -0.62
    TO
    -0.61
    POSITIVE LOGITS
    effects
    1.10
    iveness
    1.07
     effects
    0.87
     thereof
    0.84
     havoc
    0.83
    Effects
    0.82
    bringer
    0.82
    Effect
    0.80
    ktop
    0.78
    ively
    0.72
    Activations Density 0.020%

    No Known Activations