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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. 16201
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    Explanations

    quantities or amounts, particularly those considered significant or substantial

    oai_token-act-pair · gpt-3.5-turbo

    quantitative descriptions of amounts or quantities

    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
    çīĪ
    -0.83
    farious
    -0.75
    ©¶æ
    -0.71
    Ħ¢
    -0.68
    irie
    -0.68
    illance
    -0.67
     Emails
    -0.66
    odied
    -0.66
    IDES
    -0.65
    Ń·
    -0.65
    POSITIVE LOGITS
     compared
    1.15
     considering
    1.08
     exaggeration
    1.07
     accomplishment
    1.01
     understatement
    0.95
     achievement
    0.92
     consolation
    0.89
     odds
    0.88
     peanuts
    0.88
    amount
    0.85
    Activations Density 0.213%

    No Known Activations