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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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    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 @ 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
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    Negative Logits
    olulu
    -0.68
     persu
    -0.68
    accompan
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    mercial
    -0.64
    sounding
    -0.63
    edged
    -0.62
    lb
    -0.61
    bush
    -0.60
     Fool
    -0.60
    iqueness
    -0.59
    POSITIVE LOGITS
    CS
    1.00
    GN
    0.96
    IRO
    0.96
     CS
    0.95
    DF
    0.94
    GO
    0.91
    MC
    0.90
    RS
    0.90
    RL
    0.86
    OTOS
    0.86
    Activations Density 0.007%

    No Known Activations