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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. 1752
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    Explanations

    legal and crime-related terms and events

    oai_token-act-pair · gpt-3.5-turbo

    events involving violence or crime

    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
    ":-
    -0.83
    -+
    -0.74
     Firstly
    -0.74
    ********************************
    -0.73
    Firstly
    -0.73
    respective
    -0.72
    ++++++++++++++++
    -0.72
    =-=-=-=-=-=-=-=-
    -0.72
    ãĢı
    -0.71
    ================================
    -0.70
    POSITIVE LOGITS
     paralyzed
    0.69
     amid
    0.68
     fatally
    0.68
     blamed
    0.67
     afterward
    0.65
     sparking
    0.62
     pledging
    0.61
     prompting
    0.61
     pleaded
    0.61
     unsuccessfully
    0.60
    Activations Density 0.627%

    No Known Activations