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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. 9625
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    Explanations

    specific words related to spatial relationships and actions involving objects in space

    oai_token-act-pair · gpt-3.5-turbo
    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
    âĦ¢:
    -0.82
    buster
    -0.77
     based
    -0.73
    -$
    -0.70
     spearheaded
    -0.70
     along
    -0.70
     relies
    -0.69
    iliate
    -0.69
    verage
    -0.69
    Europe
    -0.69
    POSITIVE LOGITS
     slightest
    1.27
     same
    1.08
     dreaded
    1.04
     whole
    1.03
     remainder
    1.01
     entirety
    0.98
     rest
    0.97
     proverbial
    0.96
     latter
    0.96
     smallest
    0.94
    Activations Density 0.739%

    No Known Activations