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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. 9-RES-JB
    11. 1815
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.73
    ridge
    -0.69
    inav
    -0.68
    lings
    -0.68
     Travels
    -0.68
    cart
    -0.68
    azes
    -0.66
    abouts
    -0.66
    lected
    -0.64
    nings
    -0.63
    POSITIVE LOGITS
     staffer
    0.99
     firm
    0.94
     department
    0.93
     staffers
    0.89
     Manager
    0.86
     staff
    0.85
     coordinator
    0.83
     consultant
    0.80
     Consulting
    0.80
     consultancy
    0.80
    Activations Density 0.163%

    No Known Activations