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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. 11-RES-JB
    11. 5487
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    Explanations

    phrases related to tasks or processes that may involve some sort of action or completion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions and processes, particularly involving obtaining or accessing services and the related requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.67
    unity
    -0.67
    Pie
    -0.66
    warm
    -0.63
     Vaj
    -0.63
    ãĤ¦ãĤ¹
    -0.62
    Insp
    -0.61
     Lover
    -0.61
    Words
    -0.61
    imag
    -0.60
    POSITIVE LOGITS
     enroll
    1.40
     qualify
    1.39
     register
    1.26
     apply
    1.26
     renew
    1.16
     waive
    1.13
     submit
    1.13
     file
    1.08
     enrolled
    1.05
     enrol
    1.05
    Activations Density 0.313%

    No Known Activations