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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. 7-RES-JB
    11. 7295
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ecd
    -0.76
     contrasts
    -0.67
    eez
    -0.66
     Economist
    -0.65
    bole
    -0.64
     eloqu
    -0.64
     soph
    -0.63
     Soph
    -0.63
     brute
    -0.62
    EStream
    -0.62
    POSITIVE LOGITS
    GH
    0.69
    NAS
    0.68
     indeed
    0.68
    NA
    0.67
     "#
    0.65
    iatus
    0.65
     partnered
    0.65
    lled
    0.63
    ALLY
    0.63
    çĶ°
    0.62
    Activations Density 0.323%

    No Known Activations