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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. 4-RES-JB
    11. 2041
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    Explanations

    statements describing different scenarios and actions and triggers an activation mainly on the keyword "is", "are", "was", and related phrases

    oai_token-act-pair · gpt-3.5-turbo

    variations of the verb "to be" in different contexts

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

    No Comments

    Negative Logits
    pedia
    -0.77
     largeDownload
    -0.74
     Shall
    -0.71
     Must
    -0.68
    oids
    -0.67
     Highlights
    -0.66
     Outs
    -0.65
     Letters
    -0.65
    Rew
    -0.65
     Tags
    -0.64
    POSITIVE LOGITS
     able
    0.88
    nt
    0.86
     undet
    0.85
     gone
    0.77
     seen
    0.76
     supposed
    0.76
     reunited
    0.75
     exting
    0.74
     deemed
    0.74
     confronted
    0.74
    Activations Density 0.357%

    No Known Activations