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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. 3-RES-JB
    11. 3797
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    Explanations

    references to academic grades and academic-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to educational levels and grades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.77
    =-=-=-=-=-=-=-=-
    -0.75
    UTF
    -0.71
    imen
    -0.68
    WAR
    -0.67
    onto
    -0.67
    opolis
    -0.66
    ogeneity
    -0.63
    BIL
    -0.63
     toget
    -0.63
    POSITIVE LOGITS
    endment
    0.94
    imester
    0.78
    ruary
    0.77
    thouse
    0.73
    tarians
    0.73
    eve
    0.72
    century
    0.71
     Founders
    0.70
     earners
    0.69
     Citizenship
    0.68
    Activations Density 0.148%

    No Known Activations