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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. 3-RES-JB
    6. 10173
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    Explanations

    references to baseball bases, including specific positions like third base and first base, as well as actions related to bases such as stealing bases or sliding into bases

    oai_token-act-pair · gpt-3.5-turbo

    references to baseball bases and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OSE
    -0.81
     Russo
    -0.75
    staking
    -0.71
     Fruit
    -0.70
    soDeliveryDate
    -0.69
     Rapp
    -0.69
    Tang
    -0.68
    thy
    -0.68
     Dill
    -0.68
    inea
    -0.67
    POSITIVE LOGITS
    plate
    0.84
     batter
    0.82
     differential
    0.79
     batting
    0.78
    querque
    0.77
    plates
    0.75
    requ
    0.73
     defenses
    0.73
     batted
    0.72
     arithmetic
    0.71
    Activations Density 0.011%

    No Known Activations