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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
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    Explanations

    references to academic institutions and studies, particularly at the graduate level

    oai_token-act-pair · gpt-3.5-turbo

    references to graduate education and programs

    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
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    No Comments

    Negative Logits
    ality
    -0.67
    zyme
    -0.67
    eger
    -0.66
    pel
    -0.64
    eye
    -0.64
    orne
    -0.64
    dimension
    -0.64
    addon
    -0.64
    uncture
    -0.64
    itz
    -0.61
    POSITIVE LOGITS
    uates
    1.26
     graduate
    1.09
    graduate
    0.93
     graduates
    0.92
     undergraduate
    0.90
    uating
    0.89
    interstitial
    0.86
    uations
    0.86
    ploma
    0.86
     student
    0.85
    Activations Density 0.007%

    No Known Activations