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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    references to the animal "coyote."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "coy" and its variations in different contexts

    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
    lihood
    -0.97
    velength
    -0.85
    uyomi
    -0.79
    ð
    -0.76
    Downloadha
    -0.72
    ãĤ´ãĥ³
    -0.72
     Imran
    -0.69
    idency
    -0.69
    */(
    -0.69
    HCR
    -0.68
    POSITIVE LOGITS
    ote
    1.18
    otes
    1.05
    wolf
    0.97
     coy
    0.94
    stal
    0.93
    wolves
    0.82
    ety
    0.82
     wolf
    0.80
    ãĥ£
    0.79
    sters
    0.77
    Activations Density 0.007%

    No Known Activations