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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. 10-RES-JB
    11. 22174
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¥µ
    -0.88
    Interstitial
    -0.85
    AppData
    -0.81
    flies
    -0.81
    dp
    -0.79
    absolute
    -0.79
    fal
    -0.78
    soc
    -0.76
    orph
    -0.76
    services
    -0.76
    POSITIVE LOGITS
     Fernandez
    0.88
     Rogers
    0.87
    's
    0.86
     Rudd
    0.85
     Murray
    0.84
     Snyder
    0.84
     Ryder
    0.84
     Rodham
    0.83
     Hernandez
    0.83
     Phillips
    0.82
    Activations Density 0.116%

    No Known Activations