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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
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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
     Alvin
    -0.72
    paces
    -0.70
    utical
    -0.69
    eny
    -0.66
    lections
    -0.64
    eca
    -0.62
    eco
    -0.61
    phia
    -0.59
    hops
    -0.59
    aunt
    -0.57
    POSITIVE LOGITS
    Scroll
    0.85
    Meanwhile
    0.84
     deadliest
    0.83
    Such
    0.82
    Reuters
    0.81
    However
    0.80
    Shape
    0.78
    Asked
    0.78
    Related
    0.78
    AFP
    0.77
    Activations Density 0.394%

    No Known Activations