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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. 1-RES-JB
    11. 6427
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    Explanations

    references to standardized methods or requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to standardized testing and procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SEE
    -0.82
     Khe
    -0.74
    hand
    -0.73
    kers
    -0.72
    thus
    -0.71
    deals
    -0.71
    osaurs
    -0.69
    views
    -0.67
     Pyr
    -0.67
    erman
    -0.66
    POSITIVE LOGITS
     standardized
    1.33
     Consortium
    0.81
     conduc
    0.78
    ãĥ¼ãĥĨãĤ£
    0.74
     testing
    0.73
     satell
    0.73
     protocols
    0.72
     compliant
    0.71
    IFIED
    0.71
     standards
    0.71
    Activations Density 0.007%

    No Known Activations