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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. 20267
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    Explanations

    percentages or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a change in quantity or statistics

    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
    Acknowled
    -0.63
    holes
    -0.61
    Words
    -0.60
    hole
    -0.59
    é¾įåĸļ士
    -0.57
    ctuary
    -0.56
     deported
    -0.56
    illin
    -0.55
    aign
    -0.55
    croft
    -0.54
    POSITIVE LOGITS
     accommodate
    0.84
     compensate
    0.83
     ¥
    0.83
     encompass
    0.82
     include
    0.81
    wered
    0.74
     âĤ¬
    0.73
     overtake
    0.72
     346
    0.72
    ggles
    0.71
    Activations Density 0.091%

    No Known Activations