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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5950
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾į
    -0.72
    uden
    -0.66
    upper
    -0.62
    è£ħ
    -0.61
     Pillar
    -0.61
    >>\
    -0.60
    emen
    -0.58
    20439
    -0.58
    election
    -0.58
     Passage
    -0.57
    POSITIVE LOGITS
    wise
    0.79
     etc
    0.75
     permitting
    0.65
    ardless
    0.63
    aila
    0.63
     versa
    0.62
    etheless
    0.61
     biologists
    0.58
     notwithstanding
    0.58
     allocations
    0.57
    Activations Density 0.671%

    No Known Activations