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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. 2-RES-JB
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    Explanations

    numerical values in hexadecimal format

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numerical values and hexadecimal representations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alys
    -0.81
     clipboard
    -0.79
     stead
    -0.79
    aws
    -0.75
    stood
    -0.74
    accompan
    -0.72
     simplicity
    -0.72
    redo
    -0.72
    geon
    -0.70
    yrics
    -0.69
    POSITIVE LOGITS
    0000
    1.32
    00000
    1.23
    0100
    1.19
    0001
    1.10
    0000000
    1.07
    001
    1.06
    000000
    1.03
     00000000
    1.03
    FFFF
    0.97
    00007
    0.97
    Activations Density 0.032%

    No Known Activations