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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. 7585
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    Explanations

    terms related to financial figures, percentages, and company details

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Adds
    -0.54
    EngineDebug
    -0.54
    Tue
    -0.53
     WARN
    -0.51
    Si
    -0.50
     FS
    -0.49
     FG
    -0.47
    onen
    -0.45
    Publisher
    -0.45
    BuyableInstoreAndOnline
    -0.45
    POSITIVE LOGITS
    .''.
    1.10
    .).
    1.02
    +.
    0.93
    .[
    0.91
    .</
    0.91
    .(
    0.89
    %.
    0.88
    .–
    0.88
    *.
    0.87
    !.
    0.86
    Activations Density 1.937%

    No Known Activations