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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. 6910
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    Explanations

    phrases related to versions or editions of different items

    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
    loads
    -0.82
    ices
    -0.81
     nods
    -0.78
    omever
    -0.73
     slices
    -0.68
    groups
    -0.68
    SPONSORED
    -0.68
     tears
    -0.67
     portions
    -0.67
    antes
    -0.67
    POSITIVE LOGITS
     same
    0.99
     infamous
    0.95
     dreaded
    0.88
     equation
    0.81
     venerable
    0.77
     latter
    0.75
     alphabet
    0.72
     famed
    0.72
     popular
    0.72
     ledger
    0.71
    Activations Density 0.260%

    No Known Activations