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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. 12316
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    Explanations

    French words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to types of cheeses and their characteristics

    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
     SPD
    -0.78
     DPR
    -0.78
     MP
    -0.73
     Dynamics
    -0.71
     Traff
    -0.70
     Kurd
    -0.69
    Mob
    -0.68
    VK
    -0.67
     Falk
    -0.66
     Akin
    -0.66
    POSITIVE LOGITS
    ère
    1.11
    ettes
    1.10
    ette
    1.07
    ée
    1.06
     fres
    1.04
     cheese
    1.00
    rette
    0.99
    iere
    0.98
    iera
    0.97
    è
    0.95
    Activations Density 0.153%

    No Known Activations