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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. 7-RES-JB
    11. 14215
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    INDEX
    Explanations

    common phrases or conjunctions indicating a separate or additional point in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate separation or distinction

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     tumble
    -0.61
     Meadow
    -0.57
     deposition
    -0.55
     laundry
    -0.55
     degradation
    -0.54
     resil
    -0.54
     Labrador
    -0.54
     perceived
    -0.54
     machine
    -0.53
    machine
    -0.53
    POSITIVE LOGITS
    heid
    1.16
    ments
    1.03
    icularly
    0.91
    ively
    0.89
    entimes
    0.89
    isphere
    0.85
    ional
    0.84
    selves
    0.82
    ract
    0.82
    comings
    0.82
    Activations Density 0.028%

    No Known Activations