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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. 10-RES-JB
    11. 5610
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    Explanations

    decimal numbers with a single digit after the decimal point

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hower
    -0.85
     Bord
    -0.84
     Bos
    -0.79
     Gor
    -0.77
     Briggs
    -0.75
    bones
    -0.70
     Bram
    -0.69
     bip
    -0.66
     defiance
    -0.65
     imperson
    -0.65
    POSITIVE LOGITS
    00
    2.15
    0010
    1.48
     00
    1.43
    008
    1.34
    003
    1.31
    005
    1.30
    000
    1.29
    002
    1.27
    01
    1.26
    0100
    1.25
    Activations Density 0.047%

    No Known Activations