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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. 4-RES-JB
    11. 12542
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    Explanations

    mentions of donors

    oai_token-act-pair · gpt-3.5-turbo

    references to financial contributors or benefactors

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

    No Comments

    Negative Logits
    Ħ¢
    -0.74
     Trial
    -0.72
    uku
    -0.69
    occ
    -0.65
     Rover
    -0.65
     Grab
    -0.65
    LAN
    -0.63
     Gaw
    -0.62
     Bulls
    -0.62
     Siege
    -0.61
    POSITIVE LOGITS
     donors
    1.11
     donor
    0.98
    hetical
    0.91
     donating
    0.88
     laureate
    0.86
     fundra
    0.84
     donations
    0.82
    ervative
    0.82
    ervatives
    0.81
    berus
    0.79
    Activations Density 0.014%

    No Known Activations