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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. 2231
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    phrases related to surveillance, investigations, and checks

    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
    çĶ°
    -0.79
    ItemThumbnailImage
    -0.76
    DragonMagazine
    -0.75
    assis
    -0.74
    lehem
    -0.72
    Enlarge
    -0.71
    ngth
    -0.71
    istar
    -0.71
    çīĪ
    -0.70
    phasis
    -0.69
    POSITIVE LOGITS
     disparate
    1.05
     specific
    1.03
     arbitrary
    1.03
     certain
    1.02
     projects
    1.01
     unrelated
    0.99
     unfamiliar
    0.97
     strangers
    0.97
     entities
    0.94
     anything
    0.94
    Activations Density 0.874%

    No Known Activations