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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. 7-RES-JB
    11. 9703
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    Explanations

    references to comparisons or contrasts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iren
    -0.70
    oided
    -0.61
    "}],"
    -0.60
    istle
    -0.60
    mission
    -0.58
    udic
    -0.57
    ensible
    -0.57
    fell
    -0.57
    frac
    -0.55
    ller
    -0.55
    POSITIVE LOGITS
    tem
    0.64
    ilipp
    0.57
    ivity
    0.56
    onse
    0.56
     lets
    0.53
    orks
    0.53
     Sonia
    0.52
     Affect
    0.51
    asio
    0.51
    lihood
    0.51
    Activations Density 0.027%

    No Known Activations