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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. 3784
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    Explanations

    mentions of the name "Rand Paul"

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.73
     dism
    -0.73
     towed
    -0.67
    uated
    -0.64
     sight
    -0.60
     rosters
    -0.58
    ded
    -0.58
     assists
    -0.57
     therap
    -0.57
     syn
    -0.57
    POSITIVE LOGITS
    olph
    1.28
    uin
    1.00
    wick
    0.98
    stad
    0.97
    olf
    0.95
    igan
    0.88
    emonium
    0.84
    alf
    0.82
     Paul
    0.82
    lich
    0.81
    Activations Density 0.032%

    No Known Activations