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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. 8-RES-JB
    11. 10389
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    Explanations

    references to individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to people in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Operation
    -0.84
    \/\/
    -0.74
    catentry
    -0.72
    Solution
    -0.70
    Emer
    -0.69
     srfAttach
    -0.69
    Accessory
    -0.69
    tnc
    -0.68
     Lank
    -0.67
    Sensor
    -0.67
    POSITIVE LOGITS
     smugglers
    1.20
    hood
    1.08
     who
    1.01
    folk
    0.94
    opausal
    0.93
     traffickers
    0.92
     smuggling
    0.83
     born
    0.81
     whom
    0.80
    liness
    0.80
    Activations Density 0.136%

    No Known Activations