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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. 3-RES-JB
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    Explanations

    references to a specific name "Rump" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Trump."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    âĸ¬
    -0.71
    VERTISEMENT
    -0.70
    ĪĴ
    -0.67
     ende
    -0.65
    FY
    -0.64
     FANTASY
    -0.63
     Orient
    -0.62
    YA
    -0.62
    çķ
    -0.61
     cogn
    -0.60
    POSITIVE LOGITS
    osit
    0.89
    etsk
    0.89
    ression
    0.85
    olicy
    0.83
    erson
    0.82
    umped
    0.80
    oly
    0.78
    ocalypse
    0.77
    ump
    0.76
    odcast
    0.74
    Activations Density 0.011%

    No Known Activations