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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. 10-RES-JB
    6. 18176
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    Explanations

    the number "two" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    numerical references to quantities or durations, particularly the words "two" and "three."

    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
     embassies
    -0.63
     Acad
    -0.62
    akings
    -0.61
    assies
    -0.57
     Exper
    -0.56
    FORE
    -0.55
     Indust
    -0.54
    soDeliveryDate
    -0.54
     Boards
    -0.52
     Nasa
    -0.52
    POSITIVE LOGITS
    fold
    1.31
    -
    1.19
     dimensional
    1.13
    peat
    1.12
    teenth
    1.10
    âĢij
    1.05
    some
    1.02
    âĢIJ
    1.02
    -,
    1.00
     sided
    0.97
    Activations Density 0.074%

    No Known Activations