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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. 4-RES-JB
    11. 8552
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    Explanations

    proper nouns related to universities and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of places and individuals

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

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
    EStream
    -0.71
     Leilan
    -0.67
     Management
    -0.67
     Metatron
    -0.67
     Centauri
    -0.66
     distortion
    -0.66
     Sigma
    -0.65
     Unleashed
    -0.64
    POSITIVE LOGITS
    aton
    1.02
    nam
    1.00
    ris
    0.97
    asury
    0.96
    las
    0.96
    berman
    0.95
    ney
    0.95
    rist
    0.94
    arus
    0.90
    ctions
    0.90
    Activations Density 0.058%

    No Known Activations