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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. 6316
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    Explanations

    dates expressed month, day, and year

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be."

    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
    ulously
    -0.88
    ãĥ¼ãĥ«
    -0.87
    ĸļ
    -0.78
    anwhile
    -0.74
    rones
    -0.70
    shall
    -0.67
    ãĥ¼ãĥ³
    -0.65
    iasco
    -0.62
    ãĥ¼ãĥĨãĤ£
    -0.62
    enaries
    -0.62
    POSITIVE LOGITS
     tempted
    1.13
     able
    1.07
     swayed
    0.99
     construed
    0.97
     underest
    0.94
     forgiven
    0.91
     inclined
    0.90
     overest
    0.87
     mistaken
    0.85
     considered
    0.84
    Activations Density 0.108%

    No Known Activations