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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. 3-RES-JB
    11. 13203
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    INDEX
    Explanations

    references to specific technological terms and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scientific concepts or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nikov
    -0.73
    ocene
    -0.66
    ende
    -0.62
     gasp
    -0.62
     drowned
    -0.61
     pretext
    -0.60
     seas
    -0.60
     endif
    -0.58
    osaurus
    -0.56
    wage
    -0.56
    POSITIVE LOGITS
    ITION
    0.83
    ERT
    0.75
    DEN
    0.74
    MAT
    0.72
    ISH
    0.72
    HEAD
    0.71
    DEV
    0.70
     LTD
    0.70
    RAL
    0.69
    RD
    0.69
    Activations Density 1.113%

    No Known Activations