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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. 10-RES-JB
    11. 6055
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    Explanations

    references to electric devices or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to electric-related topics or devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mara
    -0.72
     Mayer
    -0.69
    xus
    -0.69
     Lur
    -0.66
    lust
    -0.62
     Haku
    -0.61
     UNITED
    -0.60
    $$$$
    -0.60
    dullah
    -0.60
    piece
    -0.60
    POSITIVE LOGITS
     propulsion
    1.03
    Charge
    0.90
    ians
    0.89
     motors
    0.89
     currents
    0.86
    ité
    0.85
     grids
    0.85
    ity
    0.82
     shock
    0.81
     shocks
    0.81
    Activations Density 0.024%

    No Known Activations