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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-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 @ 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
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    Negative Logits
    itive
    -0.76
    UF
    -0.75
    profit
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    DEF
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    minist
    -0.69
     Mercer
    -0.67
    icles
    -0.65
    rans
    -0.64
    profits
    -0.64
     Philips
    -0.63
    POSITIVE LOGITS
     inbox
    0.91
    legram
    0.88
     Email
    0.86
     sender
    0.83
    email
    0.83
     address
    0.79
     Emails
    0.79
    legraph
    0.78
    taboola
    0.77
     Thumbnails
    0.76
    Activations Density 0.017%

    No Known Activations