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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. 10-RES-JB
    11. 10314
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    Explanations

    phrases related to movement and physical actions

    oai_token-act-pair · gpt-3.5-turbo

    actions related to movement and flow

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortunate
    -0.72
    PN
    -0.69
    ollar
    -0.67
    hler
    -0.66
     Disabled
    -0.64
    soDeliveryDate
    -0.64
    EStream
    -0.64
    owe
    -0.62
    itle
    -0.61
    uld
    -0.61
    POSITIVE LOGITS
    wards
    1.01
     corners
    0.94
     valleys
    0.91
     clouds
    0.90
     cracks
    0.90
     infinity
    0.89
     uncontroll
    0.88
     cliffs
    0.87
     galaxies
    0.86
     horizon
    0.85
    Activations Density 0.218%

    No Known Activations