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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. 2445
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    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
     Introduced
    -0.76
    Beck
    -0.72
    Choice
    -0.71
     dracon
    -0.66
     Bastard
    -0.66
    Statement
    -0.66
     lawy
    -0.65
     Means
    -0.64
    roots
    -0.64
    Myth
    -0.63
    POSITIVE LOGITS
     communicate
    1.24
     manipulate
    1.23
     transmit
    1.13
     analyse
    1.10
     retrieve
    1.10
     send
    1.10
     organize
    1.08
     optimize
    1.08
     analyze
    1.07
     distribute
    1.07
    Activations Density 0.314%

    No Known Activations