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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. 9162
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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
     nevertheless
    -0.73
     followed
    -0.73
    manship
    -0.71
    MODE
    -0.71
    itism
    -0.68
     nonetheless
    -0.67
    agu
    -0.67
     compared
    -0.66
    swer
    -0.65
    blem
    -0.65
    POSITIVE LOGITS
     outset
    1.50
     standpoint
    1.33
     depths
    1.13
     sidelines
    1.04
     perspective
    1.02
     mouths
    1.01
     vantage
    1.00
     same
    0.90
     onset
    0.88
     aforementioned
    0.86
    Activations Density 0.201%

    No Known Activations