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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. 2929
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    Explanations

    references to legal situations and consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to legal consequences or penalties

    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
    ciating
    -0.70
    intel
    -0.66
     lately
    -0.66
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.64
     laz
    -0.63
     crappy
    -0.62
    ĸļ
    -0.60
     anymore
    -0.57
    ãĤ·ãĥ£
    -0.57
     ignorance
    -0.56
    POSITIVE LOGITS
     likely
    0.97
     could
    0.93
     risks
    0.86
    could
    0.85
     chances
    0.85
     hopes
    0.84
    likely
    0.81
    would
    0.81
     potentially
    0.81
     vows
    0.81
    Activations Density 0.236%

    No Known Activations