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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. 9-RES-JB
    11. 3786
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    Explanations

    organizations, events, and proper nouns

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     needles
    -0.68
     [];
    -0.62
     glands
    -0.61
     flats
    -0.60
     muted
    -0.59
     levers
    -0.59
     vents
    -0.58
     oranges
    -0.57
     goblins
    -0.57
     almonds
    -0.55
    POSITIVE LOGITS
    sonian
    0.76
    bernatorial
    0.75
    ennial
    0.73
    operation
    0.68
    onian
    0.67
    artisan
    0.66
    alloween
    0.65
    ourney
    0.64
    enario
    0.64
    iscovery
    0.62
    Activations Density 0.682%

    No Known Activations