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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. 4-RES-JB
    11. 14493
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    Explanations

    phrases related to global issues or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to global issues or phenomena

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

    No Comments

    Negative Logits
    veyard
    -0.96
    maid
    -0.89
    _-
    -0.87
    WARE
    -0.85
    MENTS
    -0.78
    sbm
    -0.77
    HOU
    -0.77
    rentice
    -0.76
    IENT
    -0.75
    manship
    -0.75
    POSITIVE LOGITS
     warming
    1.18
    isation
    0.93
    ized
    0.88
     citizenship
    0.84
    ization
    0.84
     illumination
    0.83
    izable
    0.83
     positioning
    0.82
     terrorism
    0.82
     climate
    0.81
    Activations Density 0.029%

    No Known Activations