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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. 10412
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    Explanations

    phrases related to actions or processes that are in progress or being carried out

    oai_token-act-pair · gpt-3.5-turbo

    actions and statuses related to ongoing efforts or processes

    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
    aint
    -0.71
    Imagine
    -0.66
     qualifies
    -0.64
    âĶ
    -0.63
     resear
    -0.62
    sat
    -0.62
    ebted
    -0.59
    rawdownloadcloneembedreportprint
    -0.59
     represents
    -0.59
     bothers
    -0.59
    POSITIVE LOGITS
     abound
    1.16
     underway
    1.01
     scarce
    0.86
     exchanged
    0.85
     plentiful
    0.84
     flowing
    0.83
     rife
    0.80
    Ĥª
    0.79
    Ĭ±
    0.78
    ģ«
    0.77
    Activations Density 0.241%

    No Known Activations