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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. 2536
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    Explanations

    references to politics, government, and policy issues

    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
     analyse
    -0.81
    resy
    -0.80
    nsic
    -0.77
     LIA
    -0.77
     analysed
    -0.75
     spoilers
    -0.72
     Invalid
    -0.72
    xual
    -0.71
     offences
    -0.71
     Whilst
    -0.70
    POSITIVE LOGITS
     nonprofits
    0.94
     donated
    0.93
     volunteering
    0.93
     philanthrop
    0.92
     scholarships
    0.86
     donating
    0.86
     donation
    0.82
     nonprofit
    0.82
     revital
    0.81
     donate
    0.80
    Activations Density 1.322%

    No Known Activations