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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. 1-RES-JB
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    Explanations

    mentions of a person named "Omarosa"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Osa" or variants thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    drive
    -0.77
    sheet
    -0.76
    rations
    -0.74
    rics
    -0.72
    deck
    -0.66
    tw
    -0.66
    rators
    -0.66
    doms
    -0.66
    tle
    -0.66
    Trend
    -0.65
    POSITIVE LOGITS
    osa
    1.51
     Luxem
    0.92
     Osw
    0.82
    velength
    0.80
    pha
    0.80
     Nost
    0.79
    uth
    0.78
    opa
    0.78
    isy
    0.75
    estro
    0.74
    Activations Density 0.005%

    No Known Activations