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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. 24276
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    Explanations

    terms related to social support benefits or programs

    oai_token-act-pair · gpt-3.5-turbo

    terms and discussions related to welfare systems

    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
    xual
    -0.76
    ergy
    -0.71
    terday
    -0.71
    itars
    -0.67
    utm
    -0.65
    nings
    -0.64
     Zheng
    -0.63
     Frog
    -0.62
    aneously
    -0.62
    WithNo
    -0.62
    POSITIVE LOGITS
     recipients
    1.07
    elfare
    1.02
     beneficiaries
    0.95
     welfare
    0.94
     queens
    0.85
    benefit
    0.85
     reform
    0.85
     entitle
    0.82
     dependency
    0.82
    ocrats
    0.82
    Activations Density 0.027%

    No Known Activations