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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
    11. 5460
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    ersive
    -0.77
    sers
    -0.71
    ouple
    -0.70
    Ire
    -0.69
    enture
    -0.69
    HER
    -0.68
    Motion
    -0.67
    ibling
    -0.66
    igslist
    -0.65
    tein
    -0.64
    POSITIVE LOGITS
    bett
    0.68
     Cipher
    0.64
     communism
    0.62
    uta
    0.60
     Benny
    0.60
     Bottom
    0.60
     veto
    0.59
    abwe
    0.59
     transcripts
    0.59
    iest
    0.57
    Activations Density 0.000%

    No Known Activations