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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. 2-RES-JB
    6. 11206
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    Explanations

    proper nouns related to technology companies or programming terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or acronyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wich
    -0.89
    sburgh
    -0.86
    eous
    -0.82
    tics
    -0.74
    tainment
    -0.73
    eer
    -0.72
    alion
    -0.72
    atoes
    -0.72
    âĶĢâĶĢ
    -0.72
    vous
    -0.71
    POSITIVE LOGITS
    SS
    0.90
    FP
    0.84
    FR
    0.79
    UG
    0.76
    WP
    0.75
    WD
    0.75
    SP
    0.74
    TL
    0.70
    NP
    0.70
    WC
    0.69
    Activations Density 0.040%

    No Known Activations