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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. 10-RES-JB
    6. 17468
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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 @ 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
    onential
    -0.61
     Written
    -0.60
    reditary
    -0.56
     averages
    -0.56
     Remastered
    -0.56
     mastering
    -0.56
    guyen
    -0.55
     wise
    -0.55
     hinges
    -0.55
     Yak
    -0.54
    POSITIVE LOGITS
    ">
    1.19
    "!
    1.03
    "></
    1.03
    "><
    1.02
    "/>
    0.97
    >"
    0.97
    "]
    0.91
    ></
    0.88
    ]"
    0.87
    ");
    0.87
    Activations Density 0.019%

    No Known Activations