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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23023
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    Explanations

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    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
     ILCS
    -0.67
    vous
    -0.64
    prus
    -0.63
     sidx
    -0.62
    aho
    -0.62
    adesh
    -0.62
    adish
    -0.59
    anu
    -0.59
    ockets
    -0.59
    aird
    -0.59
    POSITIVE LOGITS
     by
    1.22
     beforehand
    0.96
     orally
    0.93
     repeatedly
    0.84
    by
    0.81
     aloud
    0.77
    tale
    0.77
     aback
    0.76
     BY
    0.75
     verbally
    0.74
    Activations Density 0.037%

    No Known Activations