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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. 0-RES-JB
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    Explanations

    the word "ser."

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific type of character or role

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pavilion
    -0.71
     DOE
    -0.70
     McGee
    -0.70
    Oak
    -0.69
    idget
    -0.69
    bang
    -0.69
     Rack
    -0.67
    gc
    -0.65
     Wasteland
    -0.65
     Pound
    -0.64
    POSITIVE LOGITS
     ser
    4.10
     Ser
    1.99
    Ser
    1.73
    ser
    1.64
     sermon
    1.31
     serpent
    1.26
     SER
    1.24
     serv
    1.08
     Serpent
    1.05
     hier
    1.05
    Activations Density 0.015%

    No Known Activations