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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. 1056
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    Explanations

    phrases related to software and technical support

    oai_token-act-pair · gpt-3.5-turbo

    references to technological support and compatibility

    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
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    Negative Logits
    tein
    -0.68
    gyn
    -0.67
    76561
    -0.65
    sung
    -0.64
    ghazi
    -0.62
    esta
    -0.62
    oths
    -0.62
     Rite
    -0.62
     dare
    -0.61
    chin
    -0.61
    POSITIVE LOGITS
     Vector
    0.76
    ivity
    0.75
    anced
    0.74
    opsis
    0.74
    iveness
    0.74
    bars
    0.73
     manual
    0.72
    ive
    0.72
     Console
    0.72
     Languages
    0.72
    Activations Density 0.028%

    No Known Activations