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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. 3771
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    Explanations

    references to a specific place or concept named "Pant" with varying levels of emphasis indicated by activation values

    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
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.84
    ALD
    -0.75
    KNOWN
    -0.75
     Jav
    -0.75
    ITED
    -0.74
     omission
    -0.74
     Carbuncle
    -0.73
     Confederacy
    -0.70
    EGIN
    -0.67
     Commodore
    -0.66
    POSITIVE LOGITS
    heon
    1.58
    agraph
    1.07
    ry
    1.05
    rics
    0.99
    ucket
    0.94
    hetically
    0.93
    ograph
    0.91
    heses
    0.90
    emonium
    0.90
    rik
    0.89
    Activations Density 0.033%

    No Known Activations