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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. 2-RES-JB
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    Explanations

    references to the name "Bob"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Bob"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Environmental
    -0.76
    Common
    -0.73
     Cf
    -0.73
    Critical
    -0.73
    Demand
    -0.72
     à¨
    -0.71
    Rare
    -0.69
    Uncommon
    -0.69
     Nadu
    -0.67
    Roaming
    -0.67
    POSITIVE LOGITS
    bie
    1.11
    bies
    1.01
    bi
    0.99
    bles
    0.95
    rett
    0.95
    cats
    0.93
    bled
    0.93
    bling
    0.90
    atta
    0.89
    edia
    0.89
    Activations Density 0.006%

    No Known Activations