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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. 9-RES-JB
    11. 2876
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Anthony."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pring
    -0.84
    nir
    -0.84
    wagen
    -0.80
    spring
    -0.80
    dog
    -0.79
    fulness
    -0.79
    ledged
    -0.78
    stood
    -0.76
    matic
    -0.75
    EEK
    -0.74
    POSITIVE LOGITS
     Weiner
    0.95
     Russo
    0.92
     Bour
    0.83
     Cum
    0.78
     Centauri
    0.77
     Scar
    0.75
     Alban
    0.75
     Burgess
    0.74
     Hopkins
    0.72
     Zur
    0.71
    Activations Density 0.048%

    No Known Activations