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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20037
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    Explanations

    phrases related to the term "Ninja"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Nin" or "ninja" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mileage
    -0.72
    inventoryQuantity
    -0.71
    igating
    -0.69
     fault
    -0.67
     Miranda
    -0.66
    INGS
    -0.65
     PRESS
    -0.65
     HIP
    -0.64
    ansas
    -0.64
     Incarn
    -0.61
    POSITIVE LOGITS
    eteen
    1.72
    eteenth
    1.65
    eties
    1.39
    jas
    1.36
    ety
    1.25
    ormal
    1.09
    ovember
    1.01
    ja
    0.99
    jah
    0.98
    umbered
    0.95
    Activations Density 0.008%

    No Known Activations