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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. 7-RES-JB
    11. 4060
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    Explanations

    mentions of the name "Trump" with varying activation values, potentially focusing on specific contexts or characteristics associated with the name

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of the word "rump."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĸ
    -0.74
    APH
    -0.74
    ANCE
    -0.70
    VERTISEMENT
    -0.67
    âĸ¬
    -0.67
     ende
    -0.64
     Mechdragon
    -0.63
    ¯¯¯¯¯¯¯¯
    -0.63
    ĪĴ
    -0.62
    vironment
    -0.62
    POSITIVE LOGITS
    osit
    0.97
    onent
    0.86
    kin
    0.84
    STER
    0.84
    sters
    0.82
    aroo
    0.82
    etsk
    0.81
    olicy
    0.81
    olitan
    0.80
    ster
    0.79
    Activations Density 0.034%

    No Known Activations