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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. 9-RES-JB
    11. 4142
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    Explanations

    the name "Mik" with varying levels of relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Mik" or similar variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    continental
    -0.67
    otide
    -0.64
     apart
    -0.63
     telephone
    -0.63
     dividing
    -0.62
     Examiner
    -0.62
    ogue
    -0.62
    vantage
    -0.61
    ards
    -0.61
     divide
    -0.60
    POSITIVE LOGITS
    alist
    0.97
    enzie
    0.96
    lov
    0.93
    lein
    0.89
    imoto
    0.89
    hl
    0.88
    lia
    0.87
    los
    0.85
    innon
    0.85
    ael
    0.85
    Activations Density 0.104%

    No Known Activations