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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. 1-RES-JB
    6. 19888
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    Explanations

    the name "Don" with different emphasis scores

    oai_token-act-pair · gpt-3.5-turbo

    the word "don" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flight
    -0.66
     LCS
    -0.65
    EStream
    -0.65
    ULT
    -0.64
     TIT
    -0.63
     Healing
    -0.61
     NIGHT
    -0.61
     Nightmare
    -0.60
     Instruction
    -0.60
     Claw
    -0.60
    POSITIVE LOGITS
    don
    1.06
    nell
    1.05
    nie
    1.03
    nel
    1.01
    etheless
    0.99
    neau
    0.97
    kie
    0.97
    ates
    0.95
    stant
    0.94
    ctory
    0.94
    Activations Density 0.007%

    No Known Activations