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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. 4318
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    Explanations

    prominent and well-known entities, such as figures, thinkers, authors, artists, performers, and personalities

    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
    rontal
    -0.75
    Operation
    -0.70
    ãĤ¦ãĤ¹
    -0.65
    ighter
    -0.63
     Wonderland
    -0.60
    dule
    -0.60
    awar
    -0.59
    Gun
    -0.59
     fork
    -0.58
     Winds
    -0.58
    POSITIVE LOGITS
     whom
    1.10
    hips
    1.09
     who
    1.09
     whose
    1.01
    hip
    1.00
    paces
    0.96
    folk
    0.90
     admired
    0.88
    who
    0.88
     laureate
    0.88
    Activations Density 0.337%

    No Known Activations