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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. 3-RES-JB
    11. 18130
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    INDEX
    Explanations

    words related to physical actions and objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to urgency and significant actions occurring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     amended
    -0.52
    itect
    -0.51
     architects
    -0.51
    SEA
    -0.50
    Acknowled
    -0.49
     Directorate
    -0.47
    ortunate
    -0.47
     concerned
    -0.46
    aughty
    -0.46
    ":["
    -0.46
    POSITIVE LOGITS
    weed
    0.51
     sheets
    0.50
     Rebell
    0.50
    livion
    0.50
    quit
    0.49
     masse
    0.49
    locks
    0.49
    ickets
    0.48
    checks
    0.48
     levels
    0.47
    Activations Density 2.529%

    No Known Activations