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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. 2511
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    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
    vati
    -0.76
    itud
    -0.72
    aneers
    -0.70
    ilts
    -0.70
    hess
    -0.68
    ipal
    -0.66
    coe
    -0.64
    xxx
    -0.63
    xtap
    -0.63
    hunt
    -0.63
    POSITIVE LOGITS
     mileage
    1.29
     favorite
    1.05
     browser
    1.01
     favourite
    0.99
    selves
    0.97
     own
    0.97
    ths
    0.95
     choice
    0.92
     average
    0.86
     imagination
    0.85
    Activations Density 0.105%

    No Known Activations