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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. 10761
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    Explanations

    religious or spiritual references and themes

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and symbols that signify separation or emphasis in text

    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
    DAQ
    -0.74
    sid
    -0.73
    CNN
    -0.72
    taboola
    -0.71
     takeaway
    -0.70
    ongo
    -0.69
    ECA
    -0.69
    RM
    -0.66
    é¾
    -0.66
    wire
    -0.66
    POSITIVE LOGITS
     whence
    1.07
     viz
    1.04
     whilst
    1.04
     etc
    1.01
     namely
    0.99
     whereas
    0.98
     although
    0.97
     wherein
    0.97
     alas
    0.96
     whereby
    0.96
    Activations Density 0.629%

    No Known Activations