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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. 7243
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    Explanations

    references to things that have been forgotten or overlooked

    oai_token-act-pair · gpt-3.5-turbo

    references to things that are overlooked or no longer remembered

    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
    aton
    -0.80
    ramid
    -0.79
    ership
    -0.79
    eways
    -0.76
    cers
    -0.74
    ijing
    -0.74
    uliffe
    -0.73
    att
    -0.73
    amen
    -0.72
    annis
    -0.72
    POSITIVE LOGITS
     forgotten
    1.04
     Sparkle
    0.80
     Haram
    0.78
     Wem
    0.74
     Memories
    0.74
     Wast
    0.74
    ãĤĤ
    0.74
     unnoticed
    0.73
    ãĤī
    0.69
     miser
    0.68
    Activations Density 0.022%

    No Known Activations