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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. 9500
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    Explanations

    words related to legal issues and crimes

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "importance" or "significance."

    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
    ãĥ£
    -0.68
     awa
    -0.64
    ©¶æ
    -0.62
    ccording
    -0.62
     tha
    -0.60
     Levant
    -0.60
     Chimera
    -0.59
    ĪĴ
    -0.58
    ³³³³
    -0.58
    ³³³³³³³³³³³³³³³³
    -0.58
    POSITIVE LOGITS
    heast
    1.27
    heastern
    1.07
    gage
    0.95
    ions
    0.91
    rait
    0.90
    oad
    0.89
    oise
    0.89
    ort
    0.86
    raits
    0.85
    iculture
    0.85
    Activations Density 0.014%

    No Known Activations