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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. 6897
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    Explanations

    content-related language and promotions in emails

    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
     solo
    -0.60
    ivas
    -0.56
     Shack
    -0.55
     fuss
    -0.55
     Alone
    -0.55
     Fam
    -0.54
     dyn
    -0.53
     brut
    -0.52
     hog
    -0.52
     RJ
    -0.51
    POSITIVE LOGITS
    interstitial
    0.96
    notations
    0.68
    entimes
    0.65
    ctory
    0.64
    grain
    0.63
    apest
    0.62
    pload
    0.62
    currency
    0.62
    bytes
    0.60
    Message
    0.60
    Activations Density 0.032%

    No Known Activations