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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
    11. 13647
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    Explanations

    keywords related to data or databases

    oai_token-act-pair · gpt-3.5-turbo

    references to data, particularly in a technological or analytical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
     Rutherford
    -0.72
    âķIJ
    -0.72
    IRO
    -0.69
     DRAG
    -0.69
     piercing
    -0.65
     rooting
    -0.64
    æĸ¹
    -0.63
     parting
    -0.60
     Burst
    -0.58
     Papua
    -0.57
    POSITIVE LOGITS
    etime
    1.45
    etimes
    1.18
    emark
    1.16
    ename
    1.16
    abases
    1.14
    eman
    1.08
    eline
    1.07
    emen
    1.07
    estones
    1.04
    ework
    1.04
    Activations Density 0.061%

    No Known Activations