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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. 12-RES-JB
    11. 4445
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    Explanations

    the name "Kanade"

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    the name "Kan" mentioned in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     independent
    -0.57
     restraint
    -0.57
    BILITY
    -0.56
     Integrity
    -0.56
     chairs
    -0.55
    UE
    -0.55
    IDENT
    -0.55
     CARD
    -0.54
    IBLE
    -0.54
     Fargo
    -0.54
    POSITIVE LOGITS
    erva
    1.11
    eki
    1.04
    amaru
    0.97
    ataka
    0.95
    hai
    0.94
    thal
    0.94
    zig
    0.92
    asaki
    0.92
    ban
    0.89
    eco
    0.87
    Activations Density 0.028%

    No Known Activations