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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. 10-RES-JB
    11. 8438
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    Explanations

    emotional and impactful words or phrases

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynski
    -0.74
    eatured
    -0.63
     assisted
    -0.62
    ortment
    -0.60
     Sector
    -0.59
     fared
    -0.58
    ODUCT
    -0.58
    weather
    -0.57
     promo
    -0.56
    otaur
    -0.55
    POSITIVE LOGITS
     anew
    0.96
     unchecked
    0.90
     forth
    0.84
    .","
    0.77
     brightest
    0.77
    .</
    0.77
     palpable
    0.77
     subconscious
    0.76
     manifest
    0.76
     louder
    0.74
    Activations Density 0.315%

    No Known Activations