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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. 4-RES-JB
    11. 24515
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    Explanations

    quotes attributed to individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "saying"

    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
    ¥ŀ
    -0.96
    ĸļ士
    -0.85
    ntil
    -0.84
    xtap
    -0.83
    estern
    -0.80
    pleting
    -0.77
    respective
    -0.75
    otypes
    -0.74
    jer
    -0.73
    gotten
    -0.72
    POSITIVE LOGITS
     goodbye
    1.39
     Goodbye
    0.92
     hello
    0.88
     aloud
    0.84
     farewell
    0.82
     loudly
    0.75
     sorry
    0.74
     Merry
    0.73
    mith
    0.69
    ieu
    0.66
    Activations Density 0.052%

    No Known Activations