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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. 9-RES-JB
    11. 14840
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    INDEX
    Explanations

    comparisons in performance between different products or entities

    oai_token-act-pair · gpt-3.5-turbo

    comparative evaluations of products or features

    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
    Not in Any Lists

    No Comments

    Negative Logits
    foreseen
    -0.73
     precaution
    -0.72
    idays
    -0.69
     wishes
    -0.67
     voluntary
    -0.66
     Advisory
    -0.65
    Issue
    -0.65
    ocation
    -0.64
     emergencies
    -0.63
     fearing
    -0.63
    POSITIVE LOGITS
     superior
    1.32
     outper
    1.30
     comparable
    1.20
     compar
    1.18
     surpass
    1.14
     inferior
    1.11
     unbeat
    1.06
     compares
    1.00
     marginally
    0.98
    Compared
    0.97
    Activations Density 0.720%

    No Known Activations