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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. 7-RES-JB
    6. 2520
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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
    STD
    -0.81
     referen
    -0.77
     exha
    -0.75
     challeng
    -0.73
     reactive
    -0.73
     carbohyd
    -0.72
    uckland
    -0.70
     glim
    -0.70
    NPR
    -0.69
    bern
    -0.67
    POSITIVE LOGITS
    tein
    0.96
     Parish
    0.93
    hire
    0.93
    ®
    0.90
     Lines
    0.87
     Pact
    0.85
     Plaza
    0.85
     ®
    0.82
     Palace
    0.80
    ®,
    0.78
    Activations Density 0.319%

    No Known Activations