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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. 10-RES-JB
    11. 16003
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    Explanations

    proper nouns possibly related to a specific individual or location, particularly "Malzahn"

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns related to individuals or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.71
    SPONSORED
    -0.71
    Reviewer
    -0.65
     explan
    -0.64
     Select
    -0.57
     horm
    -0.57
     promot
    -0.56
     UID
    -0.56
     quarters
    -0.56
    modules
    -0.55
    POSITIVE LOGITS
    mson
    0.96
    opol
    0.93
    azo
    0.89
    rish
    0.86
    hemy
    0.85
    nikov
    0.84
    asar
    0.84
    azar
    0.82
    roit
    0.81
    Ń·
    0.80
    Activations Density 0.058%

    No Known Activations