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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3101
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    Explanations

    terms related to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific entities, events, and conditions in a narrative

    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
    "))
    -0.75
    ãĥĬ
    -0.73
    )?
    -0.68
    ?ãĢį
    -0.65
    \)
    -0.64
    BuyableInstoreAndOnline
    -0.64
    âĿ
    -0.61
    )</
    -0.60
    )\
    -0.59
    ?!"
    -0.59
    POSITIVE LOGITS
     lately
    0.95
     despite
    0.86
     amid
    0.82
     domestically
    0.81
     amidst
    0.81
     sooner
    0.78
     during
    0.77
     firsthand
    0.77
     nowadays
    0.77
     since
    0.75
    Activations Density 0.677%

    No Known Activations