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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. 8-RES-JB
    11. 10493
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    Explanations

    drugs, medical conditions, and controversial topics

    oai_token-act-pair · gpt-3.5-turbo

    specific substances, societal issues, and products related to urban living

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.63
    adobe
    -0.51
    ropolis
    -0.50
    ijk
    -0.49
     Gundam
    -0.49
     looph
    -0.49
     Lover
    -0.47
    76561
    -0.47
     horm
    -0.47
     NEO
    -0.47
    POSITIVE LOGITS
     alike
    1.83
     respectively
    1.60
     versa
    0.90
     thereof
    0.83
     depending
    0.77
     simultaneously
    0.77
     separately
    0.74
    depending
    0.70
     interchange
    0.69
     whilst
    0.66
    Activations Density 0.678%

    No Known Activations