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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the word "riding"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "riding" 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
    ilities
    -0.77
    argon
    -0.76
    vernment
    -0.71
    obs
    -0.71
    itars
    -0.70
    chie
    -0.69
    ormon
    -0.67
    ural
    -0.67
    mercial
    -0.65
    iling
    -0.65
    POSITIVE LOGITS
     riding
    1.12
     rode
    0.98
     Riding
    0.94
     ride
    0.93
    bike
    0.93
     rides
    0.89
     riders
    0.85
     ridden
    0.84
     Ride
    0.83
     saddle
    0.81
    Activations Density 0.005%

    No Known Activations