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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. 11-RES-JB
    11. 23094
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    Explanations

    numerical values with commas and decimals

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers and particularly higher values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bots
    -0.66
    ¥ŀ
    -0.59
     Peb
    -0.56
    sticks
    -0.56
     buyer
    -0.55
     Corpus
    -0.55
     undermin
    -0.52
     Ging
    -0.52
     Bang
    -0.52
    anooga
    -0.51
    POSITIVE LOGITS
    90
    1.20
    71
    1.20
    58
    1.20
    95
    1.20
    79
    1.19
    59
    1.18
    65
    1.18
    98
    1.18
    48
    1.17
    57
    1.17
    Activations Density 0.028%

    No Known Activations