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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. 11-RES-JB
    6. 5253
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Their
    -1.16
    They
    -1.11
    their
    -1.03
    ï¸ı
    -0.99
    they
    -0.96
     Their
    -0.92
    Its
    -0.92
    ´
    -0.91
     They
    -0.87
    ����
    -0.86
    POSITIVE LOGITS
     someone
    0.81
     hypothetical
    0.79
     another
    0.75
     his
    0.74
     Heller
    0.71
     somebody
    0.71
     Kissinger
    0.69
     himself
    0.69
     Garner
    0.68
     Scalia
    0.68
    Activations Density 0.800%

    No Known Activations