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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
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    Explanations

    the word "lot" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "a lot" or variations emphasizing quantity

    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
    ESCO
    -0.68
    gary
    -0.62
    orthy
    -0.62
    ancies
    -0.60
    ufact
    -0.59
    eters
    -0.58
    agate
    -0.57
    士
    -0.56
    antha
    -0.56
     Telecommunications
    -0.56
    POSITIVE LOGITS
     of
    0.98
     nicer
    0.76
    bos
    0.71
     worse
    0.70
     cheaper
    0.70
     smarter
    0.69
     thereof
    0.68
     stead
    0.67
     OF
    0.65
     fewer
    0.65
    Activations Density 0.052%

    No Known Activations