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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. 2-RES-JB
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    Explanations

    high schools

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions, specifically high schools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.82
    ļéĨĴ
    -0.78
    女
    -0.76
     externalToEVAOnly
    -0.74
     rall
    -0.74
    vernment
    -0.73
    vier
    -0.71
    ĸļ
    -0.68
    tnc
    -0.67
    代
    -0.66
    POSITIVE LOGITS
    lighting
    0.94
     School
    0.87
    nesses
    0.86
    landers
    0.82
    croft
    0.81
     High
    0.80
    ened
    0.80
    ness
    0.79
    school
    0.79
    ground
    0.77
    Activations Density 0.026%

    No Known Activations