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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    distances or measurements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "distance."

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

    No Comments

    Negative Logits
    tle
    -0.83
    ulate
    -0.80
    unes
    -0.76
    essee
    -0.75
    ingen
    -0.75
    inse
    -0.74
     Beans
    -0.73
    abad
    -0.73
    ovy
    -0.73
    ULE
    -0.72
    POSITIVE LOGITS
     distance
    1.16
     distances
    1.03
     travelled
    0.94
     Distance
    0.92
     traveled
    0.82
    Distance
    0.81
     separating
    0.79
    away
    0.74
    distance
    0.73
     acquaintance
    0.72
    Activations Density 0.013%

    No Known Activations