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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. 6-RES-JB
    11. 21824
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    Explanations

    numbers related to statistical data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to economic indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.65
    Reviewer
    -0.62
    erey
    -0.60
    been
    -0.59
    ¥ŀ
    -0.59
     congr
    -0.59
    kell
    -0.58
    edient
    -0.58
    £ı
    -0.58
    bris
    -0.57
    POSITIVE LOGITS
     centimeters
    1.01
     percent
    1.01
    %.
    1.00
    %
    1.00
    %,
    0.99
    ½
    0.99
     cents
    0.94
    cm
    0.93
    %;
    0.93
     inches
    0.89
    Activations Density 0.231%

    No Known Activations