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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. 0-RES-JB
    11. 20119
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    INDEX
    Explanations

    terms related to expenditure or financial expenses

    oai_token-act-pair · gpt-3.5-turbo

    references to experience or experimental observations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pinned
    -0.85
     slam
    -0.82
    ãĥĦ
    -0.80
    itan
    -0.76
    thumbnails
    -0.74
     alle
    -0.73
    pins
    -0.73
    urally
    -0.71
    ural
    -0.69
    姫
    -0.68
    POSITIVE LOGITS
     Exp
    3.75
    Exp
    2.24
    exp
    1.84
     EXP
    1.78
    EXP
    1.57
     exp
    1.48
     Expansion
    1.36
     Expend
    1.35
     Invest
    1.20
     Ext
    1.14
    Activations Density 0.012%

    No Known Activations