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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. 0-RES-JB
    11. 12134
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    Explanations

    mentions of experimental or theoretical concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of experimental concepts or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TRUMP
    -0.78
     Pelosi
    -0.77
    Protect
    -0.75
    ulia
    -0.74
    SHARE
    -0.73
    externalActionCode
    -0.70
    allah
    -0.70
    Share
    -0.69
    USA
    -0.67
    uer
    -0.67
    POSITIVE LOGITS
     experimental
    3.59
     Experimental
    2.51
     experiment
    1.98
     experiments
    1.94
     experimentation
    1.88
    Exper
    1.75
     Experiment
    1.73
     experimenting
    1.69
     experimented
    1.63
    imental
    1.51
    Activations Density 0.020%

    No Known Activations