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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. 17167
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    Explanations

    descriptions of tragic events

    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
    IQ
    -0.77
     monog
    -0.73
    thood
    -0.73
    TPP
    -0.71
     IQ
    -0.69
     virtuous
    -0.69
     Promotion
    -0.68
    ãĤ±
    -0.68
     Patent
    -0.68
     invites
    -0.67
    POSITIVE LOGITS
     debris
    1.50
     wreckage
    1.42
     rubble
    1.29
    bris
    1.27
     charred
    1.21
     toppled
    1.04
     inflamm
    0.99
     engulfed
    0.99
     makeshift
    0.97
     aftermath
    0.96
    Activations Density 0.355%

    No Known Activations