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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. 23989
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    INDEX
    Explanations

    phrases related to destruction or violence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative or harmful actions and conditions

    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
     Dickinson
    -0.84
    ulhu
    -0.73
     Confederation
    -0.72
    pload
    -0.66
     Norris
    -0.65
     Burnett
    -0.65
     Richards
    -0.65
     Borders
    -0.63
    herty
    -0.62
     Burr
    -0.62
    POSITIVE LOGITS
    based
    1.36
    sized
    1.25
    themed
    1.22
    driven
    1.17
    related
    1.17
    style
    1.16
    derived
    1.15
    induced
    1.14
    shaped
    1.12
    oriented
    1.12
    Activations Density 0.479%

    No Known Activations