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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. 11-RES-JB
    11. 11236
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    INDEX
    Explanations

    proper nouns and entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of emphasis or strong assertions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gy
    -0.74
     Gork
    -0.74
     Slater
    -0.73
     Rih
    -0.73
    lr
    -0.72
     ultr
    -0.71
     Mek
    -0.71
    yll
    -0.71
    ensable
    -0.70
    Tracker
    -0.69
    POSITIVE LOGITS
     Con
    2.12
    Con
    1.96
    con
    1.81
     Conway
    1.67
     CON
    1.67
     con
    1.64
    CON
    1.55
     convention
    1.35
     Conan
    1.33
    ocon
    1.27
    Activations Density 0.233%

    No Known Activations