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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. 7-RES-JB
    11. 14520
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.81
    AAAAAAAA
    -0.65
    nant
    -0.65
    Complete
    -0.62
     manslaughter
    -0.61
     Horus
    -0.60
    Govern
    -0.59
    gets
    -0.57
    HAHA
    -0.57
     Territories
    -0.56
    POSITIVE LOGITS
     speculate
    1.01
    paces
    0.99
     alike
    0.91
    uggest
    0.90
    ervatives
    0.89
    ervative
    0.88
    hran
    0.88
    hips
    0.88
     contend
    0.84
     believe
    0.82
    Activations Density 0.138%

    No Known Activations