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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. 4-RES-JB
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    Explanations

    phrases welcoming readers to different sections or publications

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Welcome."

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

    No Comments

    Negative Logits
    negie
    -0.77
    rael
    -0.75
    orius
    -0.74
    appropri
    -0.72
    arist
    -0.71
    sec
    -0.68
    vati
    -0.68
    ieth
    -0.67
    river
    -0.67
    ariat
    -0.65
    POSITIVE LOGITS
     Welcome
    0.87
    giving
    0.86
    elcome
    0.85
     Surprise
    0.80
    Welcome
    0.78
    ISSION
    0.77
     Guest
    0.76
    ISTER
    0.75
     Visitors
    0.73
     Guys
    0.71
    Activations Density 0.010%

    No Known Activations