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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. 4400
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    Explanations

    references to reading activities or written materials

    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
    senal
    -0.71
    ãĥķãĤ©
    -0.68
    rolet
    -0.67
    ©¶æ¥µ
    -0.67
    Production
    -0.65
    roxy
    -0.65
    rio
    -0.65
    UGC
    -0.63
    arious
    -0.63
    akable
    -0.63
    POSITIVE LOGITS
     aloud
    1.47
     newspapers
    1.07
     synopsis
    1.06
     newspaper
    0.99
     paragraphs
    0.96
     passages
    0.96
     carefully
    0.95
     papers
    0.94
     books
    0.93
     articles
    0.92
    Activations Density 0.121%

    No Known Activations