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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. 8-RES-JB
    6. 16558
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    Explanations

    phrases related to causes and results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causality and consequences related to various events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è£
    -0.82
    issance
    -0.76
    NES
    -0.74
    thank
    -0.73
    Commission
    -0.72
    ulous
    -0.72
    adel
    -0.71
    Laughs
    -0.69
    istry
    -0.69
    icol
    -0.68
    POSITIVE LOGITS
     untreated
    1.17
     uncontrolled
    1.10
     ingest
    1.08
     unchecked
    1.01
     exposure
    1.00
     improperly
    0.98
     mishand
    0.98
     negligence
    0.97
     misuse
    0.97
     improper
    0.95
    Activations Density 0.409%

    No Known Activations