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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18723
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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
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    No Comments

    Negative Logits
     Allaah
    -0.68
     raise
    -0.62
     speedy
    -0.61
     surpr
    -0.59
     ``
    -0.59
     gru
    -0.59
     Cthulhu
    -0.58
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.58
    rooms
    -0.57
     scientifically
    -0.56
    POSITIVE LOGITS
    FU
    1.01
    KI
    0.98
    KA
    0.97
    KT
    0.95
    HY
    0.95
    Vs
    0.94
    Ts
    0.93
    ZA
    0.93
    IU
    0.92
    FY
    0.90
    Activations Density 0.169%

    No Known Activations