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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
    11. 20476
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    Explanations

    references to social gatherings or events

    oai_token-act-pair · gpt-3.5-turbo

    references to gatherings or assemblies of people

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.77
    ck
    -0.75
    incarn
    -0.73
    ternity
    -0.70
    opathy
    -0.69
    paralle
    -0.69
    bole
    -0.67
    eva
    -0.66
    word
    -0.65
    fram
    -0.65
    POSITIVE LOGITS
    ivities
    0.93
     Gathering
    0.89
     gathering
    0.86
    ãĥķãĤ¡
    0.81
    athering
    0.81
     signatures
    0.80
     meetings
    0.79
    Coun
    0.76
     gatherings
    0.75
     attendees
    0.75
    Activations Density 0.011%

    No Known Activations