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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. 11291
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    Explanations

    dimensions (length, width, and height) of objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe measurements and dimensions of objects

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    YN
    -0.82
     Returning
    -0.66
    effects
    -0.66
    Values
    -0.65
    Faith
    -0.64
    uld
    -0.64
    tag
    -0.62
    imaru
    -0.61
    Tea
    -0.61
    luck
    -0.61
    POSITIVE LOGITS
     diameter
    1.02
     (~
    0.97
    iameter
    0.94
     apiece
    0.85
     horizontally
    0.80
     circumference
    0.78
     radius
    0.76
     (.
    0.76
     (-
    0.73
     ---------
    0.72
    Activations Density 0.067%

    No Known Activations