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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. 18570
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to 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
     Scrib
    -0.79
     juices
    -0.69
    vag
    -0.61
    ible
    -0.61
    ting
    -0.60
    IVES
    -0.60
    idy
    -0.60
     Straw
    -0.59
     Kushner
    -0.59
    ivities
    -0.59
    POSITIVE LOGITS
    iem
    1.01
    onday
    0.94
    akers
    0.92
    algia
    0.88
    obil
    0.85
    obile
    0.83
    gdala
    0.81
    eas
    0.78
    tsky
    0.77
    eering
    0.77
    Activations Density 0.010%

    No Known Activations