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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. 4-RES-JB
    11. 10838
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    Explanations

    numerical values with decimal points and commas

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of time, particularly in relation to specific dates or sequencing

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

    No Comments

    Negative Logits
    itton
    -0.71
    andise
    -0.66
    ãĥ¼ãĥĨ
    -0.64
     Lauder
    -0.64
     harmless
    -0.62
     parach
    -0.61
    insula
    -0.60
     sans
    -0.60
    olini
    -0.60
     Bash
    -0.60
    POSITIVE LOGITS
    192
    1.15
    989
    1.02
    een
    1.00
    eenth
    0.99
    98
    0.99
    90
    0.98
    ecause
    0.97
    57
    0.94
    58
    0.93
    79
    0.90
    Activations Density 0.068%

    No Known Activations