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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. 1-RES-JB
    11. 6627
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    Explanations

    terms related to distances or measurements, possibly with a focus on specific radii measurements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to physical distance or spatial metrics

    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
    istine
    -0.80
    alogue
    -0.77
    porary
    -0.74
    advertisement
    -0.74
    unders
    -0.71
    event
    -0.70
    cknowled
    -0.70
    inatory
    -0.69
    ãĥīãĥ©
    -0.68
    immers
    -0.68
    POSITIVE LOGITS
     radius
    1.44
     Radius
    1.07
    radius
    0.98
     circumference
    0.92
     diameter
    0.87
     diam
    0.75
     distance
    0.74
     cavity
    0.71
     Thick
    0.71
     thickness
    0.71
    Activations Density 0.007%

    No Known Activations