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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
    11. 8096
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    Explanations

    instances of the word "funds" or related terms often associated with financial allocations or appropriations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial resources and funding

    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
    spect
    -0.78
    ãĤ¦ãĤ¹
    -0.77
    76561
    -0.71
    eatures
    -0.68
    Temperature
    -0.67
    ierre
    -0.64
    ICLE
    -0.63
    ITNESS
    -0.63
    Hug
    -0.61
    chant
    -0.61
    POSITIVE LOGITS
     allocated
    1.28
     appropriated
    1.15
     allotted
    1.09
     expended
    1.05
     invested
    1.05
     reimb
    1.01
     donated
    0.98
     spent
    0.96
     allocations
    0.94
     laundering
    0.94
    Activations Density 0.094%

    No Known Activations