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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
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    Explanations

    mentions of a specific person (Clinton) in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Clinton."

    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
    teenth
    -0.83
    GGGGGGGG
    -0.75
    lass
    -0.74
    DIS
    -0.73
    obe
    -0.72
    MAT
    -0.68
    gered
    -0.68
    raints
    -0.68
    66666666
    -0.68
     Gareth
    -0.68
    POSITIVE LOGITS
     Clinton
    1.00
    Clinton
    0.95
    mia
    0.91
    INTON
    0.89
     Hillary
    0.84
     Supporters
    0.83
     impeachment
    0.83
    istas
    0.80
    clinton
    0.80
     Rodham
    0.79
    Activations Density 0.030%

    No Known Activations