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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. 3-RES-JB
    11. 12806
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    INDEX
    Explanations

    quantitative data, particularly percentages

    oai_token-act-pair · gpt-3.5-turbo

    phrases and figures related to statistical percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mone
    -0.92
     Rav
    -0.71
     marrow
    -0.71
     garg
    -0.70
     lett
    -0.69
    ufact
    -0.67
    rawdownloadcloneembedreportprint
    -0.67
     membr
    -0.66
    itiz
    -0.65
     accomp
    -0.64
    POSITIVE LOGITS
    percent
    0.92
     respondents
    0.91
     percent
    0.87
     Percent
    0.81
     Gallup
    0.80
    een
    0.79
    %,
    0.78
    agree
    0.78
    %
    0.76
     undecided
    0.76
    Activations Density 0.071%

    No Known Activations