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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. 1-RES-JB
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    Explanations

    terms related to hash functions and cryptocurrency

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "hash" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.90
    psey
    -0.87
    interrupted
    -0.75
    raised
    -0.74
    cer
    -0.73
    regon
    -0.73
     Superior
    -0.72
    oaded
    -0.70
    rehend
    -0.68
    close
    -0.67
    POSITIVE LOGITS
    hash
    1.11
     hash
    1.06
    tags
    0.99
    Hash
    0.97
     Hash
    0.90
    ãĤ¦ãĤ¹
    0.87
     hashes
    0.83
    ãĥĥãĥī
    0.79
    imoto
    0.75
    د
    0.72
    Activations Density 0.006%

    No Known Activations