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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. 1-RES-JB
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    Explanations

    proper nouns/personal names, particularly "Sharon" and "Ariel"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Sharon" and other characters' names in the context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    exempt
    -0.87
    notation
    -0.85
    effic
    -0.79
    lege
    -0.76
    rity
    -0.73
    ellation
    -0.72
    nesota
    -0.71
    ezvous
    -0.71
    undai
    -0.71
    worldly
    -0.71
    POSITIVE LOGITS
     Sharon
    1.10
     Yard
    0.86
     Chev
    0.81
     Levy
    0.81
     Richards
    0.79
     Katy
    0.76
     Blossom
    0.76
     Dash
    0.75
     Tate
    0.74
     Crusher
    0.73
    Activations Density 0.011%

    No Known Activations