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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. 7373
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    Explanations

    phrases mentioning legal and bureaucratic terms

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to significant societal issues or threats

    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
     sacrific
    -0.82
     ende
    -0.80
     reflection
    -0.76
     obser
    -0.76
     readable
    -0.74
     unconscious
    -0.74
     floppy
    -0.73
     outline
    -0.73
     canv
    -0.72
     confir
    -0.71
    POSITIVE LOGITS
    ¯
    1.16
    âĢł
    0.95
    ¶
    0.87
    ï¸ı
    0.85
    âģ
    0.85
    °
    0.85
    ï¸
    0.84
    §
    0.84
    SHIP
    0.84
    ¨
    0.83
    Activations Density 0.221%

    No Known Activations